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Journal articles on the topic 'Basketball players'
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1
Hung, Chiao-Fang, Chung-Chiang Chen, Shin-Hung Lin, and Tien-Kan Chung. "Finger and Palm Dynamic Pressure Monitoring for Basketball Shooting." Journal of Sensors 2017 (2017): 1–5. http://dx.doi.org/10.1155/2017/9352410.
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This study verified general inferences on the finger and palm pressure distribution of a basketball player in the moment before that player shoots a basketball through a scientific qualitative testing method. We mounted the sensor on the hands of college basketball players and monitored the dynamic pressure of each player’s hand while the player threw a basketball. The dynamic pressure distribution of the fingers and palm of a basketball player throwing a ball can be verified. According to the experimental results, college basketball players typically use the index finger to control the direction and power of force in the moment before shooting a basketball. This study successfully used a scientific qualitative test method to monitor the dynamic pressure of the fingers and palms of basketball players and verified the general inference that a typical basketball player mainly uses the index finger to control the direction and power of force in the moment before throwing a ball. In the future, this study, measuring the dynamic pressure distribution of the fingers and palm, can be applied to simulate hand manipulation in many biomedical and robotic applications.
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Isnaini, Lalu Moh Yudha, Sylvana Yaka Saputra, Yadi Imansyah, Muhammad Riyan Hidayatullah, and Khaerul Anam. "The quality skill level of playing basketball young basketball player." Jurnal SPORTIF : Jurnal Penelitian Pembelajaran 8, no. 4 (December 28, 2022): 440–50. http://dx.doi.org/10.29407/js_unpgri.v8i4.18650.
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The basic basketball technique is a crucial achievement for a basketball player. The purpose of this study was to determine the skill level of West Lombok basketball players in West Nusa Tenggara. This research uses survey research with a test and measurement approach, type of research is descriptive quantitative. The subjects of this study were West Lombok male basketball athletes aged 18-21 years, as many as 21 players. The instrument used is a passing test to the wall with a distance of 3 meters for 15 seconds, a shooting test for 60 seconds, and a ball dribbling test. The basketball skills test result data is divided into several categories: excellent, good, average, less, very poor, and bad. The results of this study are the Excellent category of 4 players (18.18%), the good category was shown by 14 players (63.63%), and the medium category was shown by three players (13.63%). The results of this study are that the ability to play basketball for West Lombok athletes is included in the good category. The results can provide knowledge of the condition of basketball skills so that coaches can provide a form of training that suits the player's condition.
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Nataliani, Yessica. "Feature-reduction Fuzzy c-means Clustering for Basketball Players Positioning." JOIV : International Journal on Informatics Visualization 5, no. 4 (December 30, 2021): 415. http://dx.doi.org/10.30630/joiv.5.4.651.
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One of the best-known clustering methods is the fuzzy c-means clustering algorithm, besides k-means and hierarchical clustering. Since FCM treats all data features as equally important, it may obtain a poor clustering result. To solve the problem, feature selection with feature weighting is needed. Besides feature selection by assigning feature weights, there is also feature selection by assigning feature weights and eliminating the unrelated feature(s). THE Feature-reduction FCM (FRFCM) clustering algorithm can improve the FCM clustering result by weighting the features and discarding the unrelated feature(s) during the clustering process. Basketball is one of the famous sports, both international and national. There are five players in basketball, each with a different position. A player can generally be in guard, forward, or center position. Those three general positions need different characteristics of players’ physical conditions. In this paper, FRFCM is used to select the related physical feature(s) for basketball players, consisting of height, weight, age, and body mass index. to determine the basketball players’ position. The result shows that FRFCM can be applied to determine the basketball players’ position, where the most related physical feature is the player’s height. FRFCM gets one incorrect player’s position, so the error rate is 0.0435. As a comparison, FCM gets five incorrect player’s positions, with an error rate of 0.2174. This method can help the coach decide the basketball new player’s position.
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Qin, Yun Fei, and Hong Zhong. "Research on Basketball Flight Simulation Based on the Video Data Analysis Technology." Applied Mechanics and Materials 380-384 (August 2013): 1851–55. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1851.
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The shooting average of basketball is closely related to the shoot angle of basketball players and flight trajectory. Therefore, in the process of peacetime training, only by having a full understanding of basketball's flight path can we help the basketball players better adjust the shoot angle and improve the shooting average of basketball. Thus it can increase the training quality of basketball athlete. Based on this, this paper records the flight path of basketball by combining with the basic theory of aerodynamics in the process of basketball movement, taking advantage of 3 d image analysis technology and HD video recording equipment. Finally, based on Visual c ++ software image segmentation techniques, this paper analyzes the basketball flight data. And then according to the analysis results, various parameters of the basketball trajectories are successfully captured in the process of basketball player's shooting. Moreover, the curve is also obtained which is influenced by the basketball flight distance and athletes' shooting angle. Thus, it provides a reliable theoretical basis for the technical development and training of excellent basketball athletes.
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Huang, Guanghui. "Movement Balance Evaluation for Basketball Training Through Multi-Source Sensors." International Journal of e-Collaboration 19, no. 5 (January 27, 2023): 1–11. http://dx.doi.org/10.4018/ijec.316871.
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Balance ability is the basic sports quality of athletes. For basketball players, balance training includes take-off, turning, confrontation, shooting, landing, and other links. If the players have good balance ability, they can effectively prevent sports injury and competition interference and improve the performance of basketball competition. This paper adopts the acceleration signals from multi-source sensors to evaluate movement balance for basketball training. First, acceleration signals are collected by acceleration sensors to depict the basketball player's actions. Second, the hidden Markov model is used to describe the change or transfer of different states during player's actions. Third, the acceleration signal and observation sequence from hidden Markov are used to determine whether the player is under imbalance state. The effectiveness is evaluated on a private dataset.
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Susanto, Yusuf Rifki, and Tri Nurharsono. "Tingkat Keterampilan Teknik Dasar Bola Basket Pada Klub Putra Dukun Basketballl Magelang Tahun 2021." Indonesian Journal for Physical Education and Sport 3, no. 1 (June 23, 2022): 243–48. http://dx.doi.org/10.15294/inapes.v3i1.53437.
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The purpose of this study was to determine the level of basic basketball technical skills at the Dukun Basketballl Magelang Putra Club in 2021. This study used a descriptive quantitative method approach to describe or describe the data that had been collected as it was. The sample used in this study were all male participants of the Dukun Basketballl Magelang club totaling 20 players. Data collection techniques used are tests and measurements. The instrument used in this study used a test of basic technical skills to play basketball. The data analysis technique in this study includes three steps, namely: 1) preparation 2) tabulation 3) descriptive statistics. The results showed that the basic technical skill level of the Basketballl Magelang Dukun Club basketball was as follows: 2 players or 10% Very Good, 15 Players or 75% Good, and 3 players or 15% sufficient, 0 students or 0% Moderate, 0 students or 0% Poor, 0 students or 0% Less once and 0 students or 0% Poor
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Vanlandewijck, Yves C., Christina Evaggelinou, Daniel D. Daly, Siska Van Houtte, Joeri Verellen, Vanessa Aspeslagh, Robby Hendrickx, Tine Piessens, and Bjorn Zwakhoven. "Proportionality in Wheelchair Basketball Classification." Adapted Physical Activity Quarterly 20, no. 4 (October 2003): 369–80. http://dx.doi.org/10.1123/apaq.20.4.369.
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The player classification system in wheelchair basketball (composed of four classes) is based on an analysis of players’ functional resources through game observation and field-testing. This study examines if the classes are in the correct proportion relative to each other. During the Wheelchair Basketball World Championships in Sydney 1998, 12 teams were videotaped for three 40-min games. Eighty-eight male players were retained for a detailed performance analysis by means of the Comprehensive Basketball Grading System (CBGS). Although a slight underestimation of the functional potential of Class II and III players was noted, it was concluded that the player classification system in wheelchair basketball proportionally represents the functional potential of the players.
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Ahmad, Nurdian, Ilmul Ma'arif, Faisol Hamid, Yully Wahyu Sulistyo, and Aditya Harja Nenggar. "Pelatihan Bentuk Latihan Teknik Dasar Bola basket Pada Pemain Jombang Basketball Club." Community Education Engagement Journal 5, no. 1 (October 29, 2023): 14–21. http://dx.doi.org/10.25299/ceej.v5i1.14326.
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The background of this service activity is based on the important need for basic technical skills in basketball games that can support a player's ability to achieve achievement. Basic techniques such as dribbling, passing, shooting are very important assets for every player because as a guide in the ability to play basketball, the form of basic technique training models always encourages a player to be able to hone skills well. However, players will also have experience of movement activities related to the form of training models. methods carried out with lectures and questions and answers, and practice. The form of this activity includes preparation by preparing materials and materials to be delivered, implementation related to providing explanations related to basic basketball techniques and field practice, evaluation related to elements summarising activity events related to the existence of obstacles and input for these activities, conclusions The implementation of activities related to basic basketball techniques gets enthusiasm and can be highly motivated by the players.
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Millslagle, Duane G. "Recognition Accuracy by Experienced Men and Women Players of Basketball." Perceptual and Motor Skills 95, no. 1 (August 2002): 163–72. http://dx.doi.org/10.2466/pms.2002.95.1.163.
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This study examined 30 experienced basketball players' recognition accuracy by sex, playing position (guard, forward, and center), and situations in the game of basketball. The study used a perceptual cognitive paradigm in which subjects viewed slides of structured and unstructured game situations and accurately recognized the presence or absence of the basketball. A significant difference in recognition accuracy by sex, players' position, and Structure of the game situation was found. Male players' recognition accuracy was better than the female players'. The recognition accuracy of subjects who played guard was better than that of subjects who played forward or center. The players' recognition accuracy was more accurate when observing structured plays versus unstructured plays. The conclusion of this study suggested that experienced basketball players differ in their cognitive and visual searching processes by sex and player position within the sport of basketball.
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Zhang, Muxi. "Analysis of NBA Player Salary using Linear Regression Analysis." Highlights in Science, Engineering and Technology 88 (March 29, 2024): 509–15. http://dx.doi.org/10.54097/sva7my68.
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The National Basketball Association (NBA) is one of the major professional sports leagues in the United States. As times change, the NBA has a growing commercial value, and players have increasing salaries. The problems of salaries and contracts existed since the start of the NBA, inappropriate value of contracts between players and teams fail to reach an agreement. This paper uses the players’ data from the Entertainment and Sports Programming Network (ESPN) over the 2022-2023 regular season. The player field average data such as average points and ages will be the variables used to find out the player's salary, linear regression model will be used for analysis. The outcome will indicate the important factors used and to take into consideration by teams about the salary of players. This paper found that the player's salary is strongly related to their points per game and average field goals made which meet the playing style of the current basketball market.
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Štrumbelj, Erik, and Frane Erčulj. "Analysis of Experts’ Quantitative Assessment of Adolescent Basketball Players and the Role of Anthropometric and Physiological Attributes." Journal of Human Kinetics 42, no. 1 (October 1, 2014): 267–76. http://dx.doi.org/10.2478/hukin-2014-0080.
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Abstract In this paper, we investigated two questions: (1) can measurements of anthropometric and physiological attributes substitute for expert assessment of adolescent basketball players, and (2) how much does the quantitative assessment of a player vary among experts? The first question is relevant to the potential simplification of the player selection process. The second question pertains directly to the validity of expert quantitative assessment. Our research was based on data from 148 U14 female and male basketball players. For each player, an array of anthropometric and physiological attributes was recorded, including body height, body mass, BMI, and several motor skill tests. Furthermore, each player's current ability and potential ability were quantitatively evaluated by two different experts from a group of seven experts. Analysis of the recorded data showed that the anthropometric and physiological attributes explained between 15% and 40% of the variance in experts’ scores. The primary predictive attributes were speed and agility (for predicting current ability) and body height and growth potential (for predicting potential ability). We concluded that these attributes were not sufficiently informative to act as a substitute for expert assessment of the players’ current or potential ability. There is substantial variability in different experts' scores of the same player’s ability. However, the differences between experts are mostly in scale, and the relationships between experts’ scores are monotonic. That is, different experts rank players on ability very similarly, but their scores are not well calibrated.
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Santua, Raymund Jason P. "Self-Efficacy and Shot Success of Basketball Players." Philippine Social Science Journal 3, no. 2 (November 16, 2020): 147–48. http://dx.doi.org/10.52006/main.v3i2.286.
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In the Philippines, basketball is a popular sport, and there are local, provincial, and regional and national competitions (Antolihao, 2010). From urban and rural areas, both public and private institutions, organizations, sectors, different schools province, city, municipality or towns, barangays and every corner of the street or block, Filipinos play basketball even in a small area that can make a small court or half-court and a basketball ring or sometimes a basketball ring without a board (De la Cruz, 2016). A tale or a myth attests to the powerful influence of Filipinos' sport and a keen interest in basketball and its existence in their archipelagic geography, despite the sport being designed or tailor-made for tall people (Dumaraos, 2016). There are varsity players in colleges who are scholars because of their ability to play this game. The sports career of basketball players goes a long way even when they have graduated from school. They may become professional and paid basketball players later (Sugai, 2010). However, being an expert basketball player requires much practice. Basketball players may be professionally trained or may have started as a backyard player or may have no professional training. There are backyard players who have very high accuracy and precision in shooting, which are part of their genetic characteristics (Perine, 2016). Nevertheless, these genetic characteristics may be enhanced by experience. On the other hand, Ortega, Olmedilla, de Baranda, and Gomez (2009) found that basketball players with high self-efficacy have higher performance or shot success. The success of shooting the ball may depend on the confidence that a person had had when he was shooting. The more confident he has been, the better his chance of being precise in the shooting. This is self-efficacy, confidence, and the effectiveness of achieving success in one's aim (Perlman, 2018). Hence, the study aimed to describe, compare, and correlate self-efficacy and shot success of basketball players of the Iloilo City Mayor’s Cup.
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Bondar, A., S. Dus, and O. Kolos. "Improvement of technical preparedness of basketball students in non-profile." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 4(149) (April 20, 2022): 35–38. http://dx.doi.org/10.31392/npu-nc.series15.2022.4(149).08.
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The article analyzes the technical readiness of students who play basketball as part of the university team. After analyzing the literature and Internet data, we found the main indicators of technical readiness in basketball, namely: catching the ball, passing the ball, driving the ball, throws in the basket at close range, throws in the basket from medium distance, throws in the basket from a long distance, moving the player, picking up the ball. Our survey of experts with the subsequent completion of questionnaires allowed us to obtain an assessment of the technical readiness of basketball players. After analyzing the data, we found that the best players in the university team have such an element of basketball technique as catching the ball 7.5 points. The lowest score among all indicators of technical readiness of basketball players received three: throws in the basket from the middle distance 5.5, throws in the basket from a long distance 4.9, movement of the player 4.6. Having received the above data, we have developed guidelines aimed at improving performance for athletes involved in the basketball section in the Free Economic Zone. Our study found that all indicators of the technique of qualified basketball players increased by 20- 30%, which indicates the effectiveness of our guidelines. Our research will help coaches to choose sets of exercises aimed at improving the worst indicators of technical fitness of basketball players and use them in the training process to improve the results of the game.
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Tatara, Shunya, Haruo Toda, Fumiatsu Maeda, Atsushi Ito, and Tomoya Handa. "Comparison of the Saccadic Eye Movement Ability of Female Professional Basketball Players and Non-Athletes." Applied Sciences 14, no. 3 (January 29, 2024): 1108. http://dx.doi.org/10.3390/app14031108.
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Athletes, particularly ball game players, benefit from focusing on fast-moving visual targets. In this study, we hypothesized that athletes, specifically professional basketball players, exhibit more accurate saccadic eye movements compared to non-athletes. To test this hypothesis, we assessed the eye movements of eight female professional basketball players from the Niigata Albirex BB (basketball player group) and compared them to eight sex-matched healthy volunteers from a previous study. Eye movements were measured using the Eye Score device. The visual target moved continuously for 20 s at a speed of 100 degrees/s in regular triangular wave-like movements horizontally. The subjects tracked the visual targets with maximum accuracy. The total amplitudes of evoked eye movements during tracking were 37.96 ± 0.82 for the basketball player group and 27.74 ± 2.55 deg (mean ± SEM) for the non-athlete group, indicating a significant difference. These findings suggest that basketball players may achieve accurate saccades by employing predictive saccades. The saccades of the basketball players were concentrated at the fifth frame (0.17 s after the onset of target motion), exhibiting a more peaked distribution than the normal curve. The results imply that athletes may execute predictive saccades when tracking targets with predictable movements, even outside of actual competition.
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Canlı, Umut, İlhan Toksöz, and İlker Özmutlu. "Assessment of multiple intelligence domains, socio economic levels and skills of basketball playersBasketbolcuların çoklu zeka alanları, sosyo-ekonomik düzeyleri ve becerilerinin değerlendirilmesi." Journal of Human Sciences 14, no. 4 (December 13, 2017): 4171. http://dx.doi.org/10.14687/jhs.v14i4.4861.
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Basketball is a sport in which physical characteristics give significant advantages to the player, the cognitive functions such as game intelligence, instinct and perception as virtues having vital importance in team play make distinction between the players, and different tactical strategies are used during the matches. . The purpose of our study is to determine the relation between skill levels and some physical parameters and the multi-intelligence domains of the basketball players, and also to compared the basketball specific skill levels and multi-intelligence domains according to their socio-economic levels. 42 basketball players with mean age of 13,71±0,82 year and the mean sporting experience of 4,21±1,52 year participated the study voluntarily. Anthropometric measurements of the sportsmen were conducted (body weight, height) and their Body Mass Indices (BMI) were calculated. . In determination of the multi intelligent domains, “Self Assessment Inventory at Multiple Intelligence Domains” was used. The questionnaire prepared by the researcher was applied on the basketball players to determine the socio-economic levels. In determination of basketball specific skills, Johnson Basketball Skill test was used. As a positive weak relation was determined between the age and sport experience of the players and the basketball-specific skill level (r: 0,303, r: 0,308, p<0.05, respectively), a positive weak relation was determined between the skill level and the musical intelligence (r: 0,331; p<0,05). A significant difference was found in favor of the individuals who did sports in the family in terms of social intelligence score (p<0,05). Consequently, it may be stated that age and sport experience has not high effect on the skill level. The effect of the musical / rhythmic intelligence on the skill of the weak may be due to the skill-required movements being performed in a certain rhythm. Sports contributes to the socialization process by providing to improve social skills such as communication, responsibility, empathy, cooperation and sharing. It can be evidence that the social intelligence levels of children who played sports in their family are high.Extended English abstract is in the end of Full Text PDF (TURKISH) file. ÖzetBasketbol, fiziksel özelliklerin ön plana çıkarak sporcuya avantaj sağladığı, takım oyunu içerisinde çok önemli etkiye sahip olan oyun zekası, sezgi, algılama gibi kognitif fonksiyonların sporcular arasında farklılık yarattığı ve müsabaka esnasında farklı taktiksel stratejilerin uygulandığı bir spordur. Çalışmanın öncelikli amacı basketbolcuların beceri düzeyleri ile bazı fiziksel özellikleri ve çoklu zeka alanları arasındaki ilişkinin belirlenmesi sonraki amacı ise sosyo-ekonomik düzeylerine göre basketbola özgü beceri düzeylerinin ve çoklu zeka alanlarının karşılaştırılmasıdır. Yaş ortalaması 13,71±0,82 yıl, spor yaşı ortalaması 4,21±1,52 yıl olan 42 basketbolcu çalışmamıza gönüllü olarak katılmıştır.Basketbolcuların fiziksel ölçümleri (vücut ağırlığı, boy uzunluğu) alınarak, beden kitle indeksleri (BKİ) değerleri hesaplanmıştır. Çoklu zeka alanlarının belirlenmesinde “Çoklu Zekâ Alanlarında Kendilerini Değerlendirme Envanteri” kullanılmıştır. Araştırmacı tarafından hazırlanan anket formu sosyo-ekonomik düzeylerinin belirlenmesinde kullanılmıştır. Basketbola özgü beceri düzeylerinin tespit edilmesinde ise Johnson Basketbol Beceri Testi kullanılmıştır. Spor yaşı ile basketbola özgü beceri arasında pozitif yönde zayıf bir ilişki tespit edilirken (r: 0,308; p<0,05), beceri düzeyi ile müzik zekası arasında da pozitif yönde zayıf bir ilişki tespit edilmiştir (r: 0,331; p<0,05). Ailesinde spor yapmış/yapmamış bireylere göre çoklu zeka alanlarının karşılaştırılmasında sosyal zeka puanı açısından ailesinde spor yapmış bireylerin lehine anlamlı farklılık tespit edilmiştir (p<0,05).Sonuç olarak, spor yaşının beceri düzeyi üzerindeki etkisinin yüksek olmadığı söylenebilir. Müziksel/ritmik zekanın basketbol becerisine zayıfta olsa etkisinin olması, beceri gerektiren hareketlerin belirli bir ritm eşliğinde yapılmasından kaynaklanabilir. Spor iletişim, sorumluluk, iş birliği, empati kurma, yardımlaşma, paylaşma gibi toplumsal özelliklerin gelişmesini sağlayarak sosyalleşme sürecine katkı sağlar ki ailesinde spor yapmış bireylerin çocuklarının sosyal zeka düzeylerinin yüksek olması bunun kanıtı olabilir.
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Bezmylov, Mykola, and Qi Zhang. "Model characteristics of technical and tactical activity of basketball players at the stage of preparation for higher achievements." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 3(175) (March 23, 2024): 23–28. http://dx.doi.org/10.31392/udu-nc.series15.2024.3(175).05.
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The article examines the features of the competitive activity of basketball players who are at the stage of preparation for higher achievements. Presented are model characteristics of implementation of technical and tactical actions by basketball players aged 18-20, taking into account their role in the game. The need to take playing time into account when building model characteristics of technical and tactical actions is well-founded. The players of the youth national teams (U 20) show a tendency to increase the quality of the implementation of various shots in the match (two-point, three-point, free throw) in comparison with the players of the youth national teams (U 18). Significant differences (p<0.05) in terms of these indicators were observed in basketball players playing the central player position (49,91±17,06 vs. 55,06±12,47).
According to such technical and tactical actions as block shots and steals of the ball, the basketball players of the youth national teams (U 18) were reliably ahead of the players of the youth national teams (U 20) (0,18±0,30 vs. 0,10±0.21, 2,19±1, 24 vs. 1,87±1,07, respectively). Considered possible directions of using the developed models during the training of basketball players of youth teams and prospective methodical provisions for creating reference models of technical and tactical activity for the best basketball players within the framework of a specific game role.
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Ramadhan, Muhammad Naufal, Yustinus Sukarmin, Novita Intan Arovah, Nur Indah Atifah Anwar, and Muh Ilham Aksir. "The Effect Of Imagery Training On The Accuracy Of Free Throws In Basketball Players In Terms Of Concentration." Retos 51 (November 5, 2023): 603–9. http://dx.doi.org/10.47197/retos.v51.100554.
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This study aims to determine: (1) the difference in the influence between internal imagery and external imagery exercises on the accuracy of free throws; (2) the difference in the influence of players who have high and low concentrations on the accuracy of free throws; and (3) the interaction between internal imagery and external imagery exercises and the concentration on the accuracy of free throws in basketball players. This type of research is an experiment using a 2 x 2 factorial design. The population in this study was 38 basketball SME players from Universitas Islam Indonesia. The sample in this study was 20 people who were taken using purposive sampling techniques, then ordinal pairing was carried out to divide each group. The instrument used is to measure concentration, namely the Grid Concentration Test, while the accuracy of free throw uses a free throw test. The data analysis technique used is a two-way ANOVA. The results showed that: (1) There was a significant difference in influence between internal imagery and external imagery exercises on the accuracy of free throws in basketball players, with an F value of 51.984 and a significance value of p 0.000 < 0.05. The internal imagery exercise group was higher (good) compared to the external imagery exercise group with a posttest average difference of 4.00. (2) There is a significant difference in influence between players who have high and low concentrations on the accuracy of a basketball player's free throw, proven by an F value of 38.416 and a p-significance value of 0.000 < 0.05. Players who have a high concentration are higher (good) compared to players who have a low concentration, with a posttest average difference of 4.00. (3) There is a significant interaction between imagery exercises (internal imagery and external imagery) and concentration (high and low) on the accuracy of a basketball player's free throw, with an F value of 4.264 and a significance value of p 0.047 < 0.05. There is a significant difference in the influence between internal imagery training methods and external imagery training methods on the accuracy of free throws in basketball players. The internal imagery training method is better than the external imagery exercise on the accuracy of free throws on basketball players. There is a significant difference in the effect of high concentration and low concentration on the accuracy of free throws in basketball players. Players who have high concentration are better than those with a low concentration on the accuracy of free throws in basketball players. There is a significant interaction between both methods of exercise imagery (internal imagery and external imagery) and concentration (high and low) on the accuracy of free throws in basketball players. Keywords: Internal Imagery, External Imagery, Concentration, Accuracy Free throw, Basketball.
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Florensa, Yohana Cindi, Imam Hariadi, Moch Yunus, and Yulingga Nanda Hanief. "Analysis Physical Condition of The Position Women’s Basketball Players Perennial Foundation Of Perbaspa Kediri District." Bravo's : Jurnal Program Studi Pendidikan Jasmani dan Kesehatan 11, no. 3 (October 1, 2023): 338. http://dx.doi.org/10.32682/bravos.v11i3.3255.
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This study aims to determine: (1) physical condition of arm muscle strength, (2) speed, (3) agility, (4) leg muscle power, (5) endurance, (6) physical condition of women's basketball players Perbaspa Perbaspa Foundation Kediri Regency based on player position. This type of research is quantitative descriptive research with data collection techniques using survey methods with test and measurement techniques. The population in this study were all female basketball players at the Perbaspa Abadi Foundation, Kediri Regency, consisting of 15 players. The sampling technique in this study is total sampling. The test instruments used were the push up test, 30 meter sprint, dogging run, vertical jump and multistage fitness test. The results showed that the physical condition of women's basketball players at the Abadi Perbaspa Foundation, Kediri Regency in the components of arm muscle strength, 12 players (80%) were in the poor category, the speed of 5 players (33%) was in the medium category, the agility of 15 players (100%) was in the very category. good, leg muscle power of 11 players (73%) is in the poor category, endurance of 13 players (87%) is in the very poor category. The results of the physical condition based on the player's position show that the dominant physical condition of the point guard position (PG1) is speed and agility, the shooting guard position (SG2) speed and agility, small forward agility (SF3), power forward position (PF4) arm muscle strength, speed and agility, middle position (C5) speed and agility. Physical condition is one aspect that cannot be underestimated, because basketball players have positions and tasks where each task requires different components of physical condition, so coaches need to know what physical components are needed to improve performance.
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Franklyn, Alexander, and Yessica Nataliani. "PENGELOMPOKAN PERFORMA PEMAIN BASKET DENGAN SELEKSI FITUR NILAI STATISTIK MENGGUNAKAN K-MEANS DAN FUZZY C-MEANS." IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi 1, no. 3 (October 29, 2022): 166–78. http://dx.doi.org/10.24246/itexplore.v1i3.2022.pp166-178.
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Assessment of individual performance in an organization is needed to improve organizational performance, not least in the basketball team. Satya Wacana Saints Salatiga is a basketball team in Indonesia that competes in the Indonesian Basketball League (IBL). All players have statistical values in a basketball game, including points, assists, blocks, rebounds, and steals. These five features can be used as a reference for coaches in determining the performance of players consisting of players with good, moderate, and poor performance. Feature selection determines the feature(s) that most affects a player's performance. In this study, a feature selection of the statistical value of players was carried out to assess the performance of basketball players. The data was obtained from IBL statistical data for the Satya Wacana Saints Salatiga team for the 2021 season. The method used was k-means and fuzzy c-means with feature selection. The experiment results showed that the point value was the main factor influencing players' performance. The comparison between the k-means and fuzzy c-means with the actual performance of the coaches' assessment shows that the fuzzy c-means algorithm has an accuracy rate of 1.0000, while the k-means algorithm is 0.8000. It means that the evaluation of the player's performance can be determined from the point value using the fuzzy c-means algorithm.
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Chen, Yiwen. "Research on the Team Operation and Management Strategy of the Mainstream Basketball Leagues in China and America - Based on the Comparison Between NBA and CBA." Advances in Economics, Management and Political Sciences 51, no. 1 (December 1, 2023): 259–67. http://dx.doi.org/10.54254/2754-1169/51/20230643.
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This research comparatively analysis gameplay and strategies in the National Basketball Association (NBA) and the Chinese Basketball Association (CBA). The goal is to understand more about how the various professional basketball leagues work, how games are played, and how well the players perform. In contrast to the CBA's emphasis on disciplined offensive setups and team play, the NBA places a premium on athleticism and three-point shooting. The research in both leagues' sheds light on the significance of defensive strategies, team cohesiveness, and individual player duties. Based on best practices in the NBA, there are several potential enhancements to league administration and marketing and implications for CBA coaching and player development. The study's results highlight the dynamics of the worldwide basketball scene and give recommendations for developing professional basketball. The research also analyzes and contrasts NBA and CBA players' scoring, playmaking, and rebounding abilities, among other things. Based on the insights it gives into each league's distinctive traits and its players' performance, this study has significant significance for the growth and extension of professional basketball globally.
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Kozina, Zhanneta, and S. V. Velychko. "Individual approach in the training of young basketball players 15-16 years old." Health-saving technologies, rehabilitation and physical therapy 1, no. 1 (November 26, 2019): 81–85. http://dx.doi.org/10.58962/hstrpt.2019.1.1.81-85.
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The purpose of the study was to develop individual programs of basketball training process based on factor models of their preparedness. The characteristics of the factor structure of basketball players' readiness of 15-16 years of six factors are given. The individual factor structure of basketball players' preparedness was determined and the players were distributed by cluster analysis. It is shown that belonging to the assigned game role of each player is not only purely visual differences in anthropometric indicators, but also differences in deeper indicators of physiological, biochemical and psychophysiological functions.
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J.T, Fakoya, Olarinde M.O., and Adeola A.A. "Evaluating Player Interaction and Performance using Network Analysis." International Journal of Computer Science and Mobile Computing 11, no. 9 (September 30, 2022): 1–10. http://dx.doi.org/10.47760/ijcsmc.2022.v11i09.001.
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In professional sports, a team's biggest concern is winning a game every time they step on the pitch. All teams aspire to give their best effort during a game, and doing so necessitates taking into account players interaction with their teammates during playing time. Therefore, determining each players interaction and evaluating their performance plays an important role in basketball. The study reviewed and evaluated players interaction for the 2017/2018 NBA season. Though there are known techniques for analysis and player performance evaluation which have been developed overtime, several other techniques have been proposed. However, in order to better manage the game and positioning of players, network analysis a better way to understand players preference in passing the ball to other players. The study used Network analysis to assess and analyze basketball players interaction and general performance. Statistics for every player for 2017/2018 season were gathered by scraping data from Basketball-Reference and used custom R scripts to gather box score data from basketball reference. Precisely there were 30 teams and had initially 23 variables related to their performance with attributes such as fields goals made, field goals made, points scored with field goals, points scored and so on. Network nodes for each players assist performance was highlighted. Network diagram were then generated for different teams such as Milwaukee Bucks, Cleveland which shown the consistency of passes for each player and interaction.
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Song, Xuhui, and Linyuan Fan. "Pattern Recognition Characteristics and Neural Mechanism of Basketball Players’ Dribbling Tactics Based on Artificial Intelligence and Deep Learning." Mathematical Problems in Engineering 2022 (March 27, 2022): 1–11. http://dx.doi.org/10.1155/2022/1673969.
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There are many factors that affect a player’s overall basketball ability, and different factors will have different effects. The effect is mainly manifested in the difference of offensive and defensive data of basketball players in basketball games. In the basketball field, the formulation of existing training plans mainly relies on the manual observation and personal experience of coaches. This method is inevitably subjective. The pattern recognition of dribbling tactics is one of the important factors. A proper dribbling tactic can make the team achieve better results. In order to discover different dribbling characteristics, reanalyze the connotation and manifestation of basketball speed and strive to analyze the factors that affect basketball speed reasonably and accurately. The deep learning algorithm simulates the thinking process of the human brain neurons through the computer method and then realizes the function of the computer to automatically learn the data characteristics and complete the complex data analysis task. We use artificial intelligence and deep learning to simulate various dribbling tactics of players and find out the rules to improve players’ abilities. The results of the study prove that developing a suitable dribbling tactical model for basketball players can increase their competitive ability by more than 10%, reduce the damage to players, and prolong their careers. Generally speaking, athletes’ injuries can be reduced by more than 15%. This shows that the pattern recognition characteristics and neural mechanisms of dribbling tactics are extremely important to basketball players.
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Clemente, Filipe Manuel, Sarah G. T. Bredt, Gibson Praça, André Gustavo Pereira de Andrade, Rita Sanches, Carlos Filipe Moleiro, and Ricardo Lima. "Basketball small-sided games." Kinesiology 53, no. 1 (2021): 28–36. http://dx.doi.org/10.26582/k.53.1.4.
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This study compared athletes’ rate of perceived exertion (RPE) and the number of their technical-tactical actions in small-sided basketball games (SSG) played within the same relative area with adjusted bout durations in (a) varied game formats; and (b) in two successive bouts of different formats. Ten young female basketball players (14.3±1.3 years) played two bouts of five small-sided game (SSG) formats (1x1, 2x2, 3x3, 4x4, and 5x5). The number of technical-tactical actions per player per minute decreased from the smaller to the larger SSG format, and players’ RPE tended to be higher in larger compared to smaller formats. We concluded that the smaller basketball SSG formats increased players’ participation. In addition, adjustments of the relative playing area and bout duration seemed to decrease players’ effort. The use of two SSG bouts did impact the number of technical-tactical actions and RPE.
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DeFroda, Steven F., Devan D. Patel, John D. Milner, Daniel S. Yang, and Brett D. Owens. "Performance After Concussion in National Basketball Association Players." Orthopaedic Journal of Sports Medicine 10, no. 3 (March 1, 2022): 232596712210836. http://dx.doi.org/10.1177/23259671221083661.
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Background: Concussions have received national attention in collision sports such as football, soccer, and hockey, but less focus has been placed on basketball. Purpose: To determine return-to-play (RTP) and player performance in the first and second season after concussion in National Basketball Association (NBA) players. Study Design: Descriptive epidemiology study. Methods: An online database of publicly available NBA athlete injuries was queried for instances of “concussion” between 2010 and 2018. The age at injury, team, position, height, weight, body mass index, NBA experience, date of concussion, date of return, and seasons played postconcussion was recorded for each player. Regular-season statistics (games started, games played, minutes played, and player efficiency rating [PER]) were compiled for the season before, and 2 seasons immediately after, injury. Kaplan-Meier survivorship plots were computed for athlete RTP and retirement endpoints. Results: A total of 81 injuries were identified from 2010 to 2018, with a rate of 2.0 concussions per 100 player-years. Overall RTP was 100% after concussion, with nearly all (88%) returning in the season of injury; 12% of players experienced a season-ending concussion. RTP averaged 37.3 days after injury, varying widely (range, 2-291 days). Compared with preinjury season (78.0%), athletes played in significantly fewer overall games in the season of injury (36.6%; P < .0001), as well as 1 (69.5%; P = .0229) and 2 seasons postinjury (73.2%; P = .3192). PER scores were not significantly different across the study period. Each point increase in a player’s preinjury PER score was associated with a 2.4% decrease in PER from the preinjury season to season of injury ( P = .0016) and a 3.1% decrease from preinjury to season after injury ( P = .0053). Each increasing year of age or year of experience was associated with 5% decline in PER score at 1 season after injury. Conclusion: NBA players had a high RTP after concussion, with most returning in the same season as the injury. Players sustaining concussions played significantly fewer games for at least 2 seasons after injury. Performance via PER did not change across the entire cohort; however, players with higher preinjury PER, and older players were more likely to sustain a greater decline in performance after injury.
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Gál-Pottyondy, Anna, Bálint Petró, András Czétényi, János Négyesi, Ryoichi Nagatomi, and Rita M. Kiss. "Collection and Advice on Basketball Field Tests—A Literature Review." Applied Sciences 11, no. 19 (September 23, 2021): 8855. http://dx.doi.org/10.3390/app11198855.
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We conducted a review to collect the validated basketball-specific physical field tests and to provide practical advice for their appropriate selection and application. A comprehensive electronic literature search was performed via three electronic databases (PubMed, GoogleScholar, and SportDiscuss). Results of 93 studies provided recommendations for seven test packages and eighteen individual tests that have already been validated for basketball players. Although there is a lack of standardized, widely, and systematically used test protocols for testing the fitness levels of basketball players, standardized, normative data from NBA Combine Testing and other basketball-specific tests have the potential to help coaches compare their players with elite basketball players. Our review indicated that agility and reactive agility are fundamental skills in basketball; however, linear sprinting ability should not be considered a determining factor of success for basketball players. Finally, the countermovement jump test can help experts monitor fatigue, loss of explosive force, and interlimb asymmetries. In general, we found that identifying and developing a talented player is a complex task and requires experts from different fields, including trainers, coaches, performance- and movement analyzers, and physiotherapists. We found that during the testing of basketball players, experts always have to normalize their data with anthropometric measures for valid results. Most importantly, although experts always need to define an aim of testing and should follow the protocol of the chosen test, they also have to be open to making adjustments if the actual circumstances require it.
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Ma Qing. "A Novel Method for Recognizing Physical Fitness Signals of Basketball Players Based on Photovoltaic Power Supply." Journal of Electrical Systems 20, no. 7s (May 4, 2024): 2047–70. http://dx.doi.org/10.52783/jes.3924.
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This study proposes a novel method for recognizing the physical fitness signals of basketball players using a photovoltaic power supply. The traditional method for measuring physical fitness signals, such as heart rate and oxygen consumption, requires constant monitoring via wired sensors. This method is not suitable for sports like basketball, where player movement can interfere with the sensors and affect the accuracy of the measurements. To address this issue, we developed a small, lightweight device that utilizes a photovoltaic power supply to eliminate the need for wires and allow for seamless monitoring of physical fitness signals. The device can be attached to a player's clothing or equipment, and the energy generated from the photovoltaic power supply is used to power the device and collect data. We conducted a pilot study with professional basketball players and found that our method provided accurate and reliable measurements of physical fitness signals. It opens up new possibilities for sports performance monitoring, as coaches and trainers can now quickly and efficiently track the physical fitness of their players in real time.
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Kostiuk, Yuliia, Tetiana Kuryllo, Oleg Krupenin, and Olena Khotentseva. "Comprehensive analysis of technical and tactical activities of high qualification basketball players." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 7(138) (July 27, 2021): 70–73. http://dx.doi.org/10.31392/npu-nc.series15.2021.7(138).14.
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The article presents the results of a study of game activity according to the index of technical and tactical skills of highly qualified basketball players who play in the Premier League of Ukraine among men's teams. The main components of the method of assessing the technical and tactical actions of players are the characteristics of the main components of the game, namely: effective transfers, rebounds under the shield, block shots, fouls on the player, loss of the ball, interception, fouls, the ratio of the number of effective throws of the ball into the basket with the total number of throws of the same player, the calculation of the ratio of the number of points scored by the player to the number of points scored by the team. It is important to assess the ratio of the player's time on the field to the total playing time, as well as the features of the game role. The high level of game activity of the team was revealed in the central players and one defender. The lowest level of technical and tactical skills was recorded in the attacking defender. According to the results of the index of the integrated indicator, the strengths and weaknesses of the competitive activity of highly qualified basketball players are analyzed. The strengths of the team include the rebounds, assists and fouls of the opponent on the player. Weaknesses that affected the course of the competition were the player's personal fouls and loss of the ball. On the basis of the conducted research the trainer can define means of correction of training process on technical and tactical readiness of players of various game roles.
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Tian, Changjia, Varuna De Silva, Michael Caine, and Steve Swanson. "Use of Machine Learning to Automate the Identification of Basketball Strategies Using Whole Team Player Tracking Data." Applied Sciences 10, no. 1 (December 18, 2019): 24. http://dx.doi.org/10.3390/app10010024.
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The use of machine learning to identify and classify offensive and defensive strategies in team sports through spatio-temporal tracking data has received significant interest recently in the literature and the global sport industry. This paper focuses on data-driven defensive strategy learning in basketball. Most research to date on basketball strategy learning has focused on offensive effectiveness and is based on the interaction between the on-ball player and principle on-ball defender, thereby ignoring the contribution of the remaining players. Furthermore, most sports analytical systems that provide play-by-play data is heavily biased towards offensive metrics such as passes, dribbles, and shots. The aim of the current study was to use machine learning to classify the different defensive strategies basketball players adopt when deviating from their initial defensive action. An analytical model was developed to recognise the one-on-one (matched) relationships of the players, which is utilised to automatically identify any change of defensive strategy. A classification model is developed based on a player and ball tracking dataset from National Basketball Association (NBA) game play to classify the adopted defensive strategy against pick-and-roll play. The methodology described is the first to analyse the defensive strategy of all in-game players (both on-ball players and off-ball players). The cross-validation results indicate that the proposed technique for automatic defensive strategy identification can achieve up to 69% accuracy of classification. Machine learning techniques, such as the one adopted here, have the potential to enable a deeper understanding of player decision making and defensive game strategies in basketball and other sports, by leveraging the player and ball tracking data.
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Brown, Robert W., and R. Todd Jewell. "Race, Revenues, and College Basketball." Review of Black Political Economy 23, no. 3 (March 1995): 75–90. http://dx.doi.org/10.1007/bf02689992.
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Customer discrimination may result in racial differences in the marginal revenue products generated by workers. College basketball data allow for direct comparisons of the racial differences in the marginal revenues generated by players. This article compares the revenue generating potential of the top black and white college basketball players. A highly skilled white college player generates over $100,000 in per game revenues as compared to around $30,000 for a black player of equal talent, providing a strong incentive for colleges to discriminate against recruiting black student-athletes.
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Powell, John W., and Kim D. Barber-Foss. "Sex-Related Injury Patterns among Selected High School Sports." American Journal of Sports Medicine 28, no. 3 (May 2000): 385–91. http://dx.doi.org/10.1177/03635465000280031801.
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This cohort observational study was undertaken to test the hypothesis that the incidence of injuries for girls participating in high school sports is greater than that for boys. From 1995 through 1997, players were included in our study if they were listed on the school's varsity team roster for boys’ or girls’ basketball, boys’ or girls’ soccer, boys’ baseball, or girls’ softball. Injuries and opportunities for injury were recorded daily. Certified athletic trainers reported injury and exposure data. Based on 39,032 player-seasons and 8988 reported injuries, the injury rates per 100 players for softball (16.7) and for girls’ soccer (26.7) were higher than for baseball (13.2) and boys’ soccer (23.4). The knee injury rates per 100 players for girls’ basketball (4.5) and girls’ soccer (5.2) were higher than for their male counterparts. Major injuries occurred more often in girls’ basketball (12.4%) and soccer (12.1%) than in boys’ basketball (9.9%) and soccer (10.4%). Baseball players (12.5%) had more major injuries than softball players (7.8%). There was a higher number of surgeries, particularly knee and anterior cruciate ligament surgeries, for female basketball and soccer players than for boys or girls in other sports.
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Malinauskas, Romualdas, Šarūnas Zablockis, and Šarūnas Ajauskas. "Expression of Sport Experiences between Cadet and Junior Basketball Players." Baltic Journal of Sport and Health Sciences 3, no. 122 (November 10, 2021): 33–41. http://dx.doi.org/10.33607/bjshs.v3i122.1109.
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Background. The hypothesis of this study is formulated as follows: the experience of junior basketball players in competitions will be more valuable than that of cadet basketball players. The aim of our study was to examine the peculiarities of youth and basketball players’ sport experiences.
Methods. A total of 104 basketball players, 47 cadets and 57 juniors participated in the study. Survey questionnaire is used for the study. The following methodologies were used: Athlete’s Personal Experience Survey (Athletic Coping Skills Inventory, ACSI-28) and the Sport Experiences Questionnaire (SEQ).
Results. The results of the study revealed statistically significant differences (p <.05) in personal sport experiences (athletic endurance skills) among basketball players of different age groups according to the following indicators: the coach’s influence on basketball players, concentration, athletes’ self-confidence and resilience. The results of the study of athletes’ competitive experiences revealed that there were statistically significant differences (p <.05) between cadet and junior basketball players in competition experience. No statistically significant differences were found in terms of risk and progress parameters.
Conclusions. The coach’s influence was greater for the cadet basketball players. Concentration, self-confidence and resilience were better among junior basketball players. This shows that when competing, junior basketball players have higher levels of concentration compared to the cadet group, as they are more confident and can better cope with tension. In addition, it was found that the experience of junior basketball players in competitions is richer than that of cadet basketball players.
Keywords: sport experience, junior, cadet, basketball players, basketball.
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Argaj, Gustáv. "Porovnanie plus/mínus bodov a hernej efektivity pri hodnotení individuálneho herného výkonu v basketbale." Studia sportiva 5, no. 1 (July 4, 2011): 85–94. http://dx.doi.org/10.5817/sts2011-1-10.
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The paper deals with the results of research of evaluation of basketball individual game play performance. The subject of the paper has its importance for basketball coaches and players. Th e fi rst main purpose of the process of the evaluation is to give the most unprejudiced and the most exact information about the player’s individual game play performance. Th e second one is to provide with pedagogical feedback information, which help to raise the effi ciency of the training process. Th e aim was to enlarge knowledge about the evaluation of basketball individual game play performance and compare it with method plus/minus points. We used basic methods of pedagogical research when getting the data and we use basic statistical methods during the process of interpretation. Th e Slovak top-level men’s basketball games were the object of the research. Th e comparison of the order of players´ individual game play performance has showed that the methods are not the same. Th e results of the research imply that the method of evaluation basketball individual game play performance evaluates diff erent qualities of player’s individual game play performance than the method plus/minus points. Th e method of evaluation of the eff ectivity of basketball individual game play performance determines the eff ectivity of the player during the game and the method of plus/minus points indicates the contribution of player to the team performance. Th is means that the method of plus/minus points evaluates the activities which cause the positive and negative changes of the score diff erential of the match, too. When evaluating the basketball individual game play performance we recommend to use not only the method of evaluation of game play performance, but the method plus/minus points, too.
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Malacko, Julijan, Dragan Doder, Slavisa Djurdjevic, Biljana Savic, and Radoslava Doder. "Differences in the bioenergetic potential of athletes participating in team sports." Vojnosanitetski pregled 70, no. 7 (2013): 633–36. http://dx.doi.org/10.2298/vsp110208043m.
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Background/Aim. In modern training technology, assessment of aerobic bioenergetic potential in athletes is commonly performed by standard laboratory procedures to determine basic or specific functional abilities for specific sport activity or discipline. The aim of study was to assess the aerobic bioenergetic potential of athletes participating in basketball, football and handball. Methods. The study included 87 athletes (29 basketball players, 29 football players, and 29 handball players) aged 21-24. Evaluation of the aerobic bioenergetic potential of athletes participating in basketball, football and handball was performed followed by both univariate (ANOVA) and multivariate (MANOVA) statistical methods to determine differences among the athletes in relative (VO2 mL/kg/min) and absolute oxygen consumption (VO2 L/min). Results. Statistically significant differences between absolute and relative oxygen consumption were found in basketball players (Mb), football players (Mf), and handball players (Mh) (MANOVA, p = 0.00). ANOVA also revealed significant differences in relative oxygen consumption (VO2 mL/kg/min) (p = 0.00). The football players (55.32 mL/kg/min) had the highest relative oxygen consumption, followed by the handball players (51.84 mL/kg/min) and basketball players (47.00 mL/kg/min). The highest absolute oxygen consumption was recorded in the basketball players (4.47 L/min), followed by the handball players (4.40 L/min) and footballers (4.16 L/min). Conclusion. Statistically significant differences in the aerobic bioenergetic potential, expressed by the relative oxygen consumption were found among atletes participating in different team sports. It can be assumed that the player from the sports in which it is necessary to cross greater distance in total during the match have a greater need for aerobic capacity.
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Ma, Chunyan, Ji Fan, Jinghao Yao, and Tao Zhang. "NPU RGBD Dataset and a Feature-Enhanced LSTM-DGCN Method for Action Recognition of Basketball Players+." Applied Sciences 11, no. 10 (May 13, 2021): 4426. http://dx.doi.org/10.3390/app11104426.
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Computer vision-based action recognition of basketball players in basketball training and competition has gradually become a research hotspot. However, owing to the complex technical action, diverse background, and limb occlusion, it remains a challenging task without effective solutions or public dataset benchmarks. In this study, we defined 32 kinds of atomic actions covering most of the complex actions for basketball players and built the dataset NPU RGB+D (a large scale dataset of basketball action recognition with RGB image data and Depth data captured in Northwestern Polytechnical University) for 12 kinds of actions of 10 professional basketball players with 2169 RGB+D videos and 75 thousand frames, including RGB frame sequences, depth maps, and skeleton coordinates. Through extracting the spatial features of the distances and angles between the joint points of basketball players, we created a new feature-enhanced skeleton-based method called LSTM-DGCN for basketball player action recognition based on the deep graph convolutional network (DGCN) and long short-term memory (LSTM) methods. Many advanced action recognition methods were evaluated on our dataset and compared with our proposed method. The experimental results show that the NPU RGB+D dataset is very competitive with the current action recognition algorithms and that our LSTM-DGCN outperforms the state-of-the-art action recognition methods in various evaluation criteria on our dataset. Our action classifications and this NPU RGB+D dataset are valuable for basketball player action recognition techniques. The feature-enhanced LSTM-DGCN has a more accurate action recognition effect, which improves the motion expression ability of the skeleton data.
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Xu, Feng, and Guohua Li. "Feature Extraction Algorithm of Basketball Trajectory Based on the Background Difference Method." Mathematical Problems in Engineering 2022 (March 19, 2022): 1–11. http://dx.doi.org/10.1155/2022/2653279.
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People are increasingly interested in moving object detection technology as a part of computer vision technology, which has grown in importance in recent years. Moving target detection technology is widely employed in military defense, security monitoring, medical examinations, intelligent transportation, and many other industries at the present time. A moving target detection system relies on rapid and accurate video picture segmentation to identify, locate, and analyze the target. The trajectory of a basketball player’s shooting motion and the extraction of features are important to increase the accuracy of basketball players’ shots. This study proposes an area growth algorithm-based approach to tracing the shooting motion of basketball players. The trajectory of the shot motion is captured using a video sensor image tracking approach. The corner points and the edge contours of the trajectory image are extracted using the edge contour feature extraction method, the feature extraction from the firing motion trajectory image is merged with the regional linear growth approach, and the corner points are then marked. Feature extraction improves basketball players’ shooting accuracy and trajectory control ability. Simulation results show that the prediction accuracy of basketball players’ shooting trajectories using this method can reach up to 100%, which improves the accuracy of motion trajectory extraction and enhances basketball players’ shooting motion control.
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Scanlan, Aaron T., Ben J. Dascombe, Andrew P. Kidcaff, Jessica L. Peucker, and Vincent J. Dalbo. "Gender-Specific Activity Demands Experienced During Semiprofessional Basketball Game Play." International Journal of Sports Physiology and Performance 10, no. 5 (July 2015): 618–25. http://dx.doi.org/10.1123/ijspp.2014-0407.
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Purpose:To compare game activity demands between female and male semiprofessional basketball players.Methods:Female (n = 12) and male (n = 12) semiprofessional basketball players were monitored across 3 competitive games. Time–motion-analysis procedures quantified player activity into predefined movement categories across backcourt (BC) and frontcourt (FC) positions. Activity frequencies, durations, and distances were calculated relative to live playing time (min). Work:rest ratios were also calculated using the video data. Game activity was compared between genders for each playing position and all players.Results:Female players performed at greater running work-rates than male players (45.7 ± 1.4 vs. 42.1 ± 1.7 m/min, P = .05), while male players performed more dribbling than female players (2.5 ± 0.3 vs. 3.0 ± 0.2 s/min; 8.4 ± 0.3 vs. 9.7 ± 0.7 m/min, P = .05). Positional analyses revealed that female BC players performed more low-intensity shuffling (P = .04) and jumping (P = .05), as well as longer (P = .04) jogging durations, than male BC players. Female FC players executed more upper-body activity (P = .03) and larger work:rest ratios (P < .001) than male FC players. No significant gender differences were observed in the overall intermittent demands, distance traveled, high-intensity shuffling activity, and sprinting requirements during game play.Conclusions:These findings indicate that gender-specific running and dribbling differences might exist in semiprofessional basketball. Furthermore, position-specific variations between female and male basketball players should be considered. These data may prove useful in the development of gender-specific conditioning plans relative to playing position in basketball.
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Yang, Tianyu, Congmeng Jiang, and Pengfei Li. "Video Analysis and System Construction of Basketball Game by Lightweight Deep Learning under the Internet of Things." Computational Intelligence and Neuroscience 2022 (March 15, 2022): 1–14. http://dx.doi.org/10.1155/2022/6118798.
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With the explosive growth of sports video data on the internet platform, how to scientifically manage this information has become a major challenge in the current big data era. In this context, a new lightweight player segmentation algorithm is proposed to realize the automatic analysis of basketball game video. Firstly, semantic events are expressed by extracting group and global motion features. A complete basketball game video is divided into three stages, and a basketball event classification method integrating global group motion patterns and domain knowledge is proposed. Secondly, a player segmentation algorithm based on lightweight deep learning is proposed to detect basketball players, segment the players, and finally extract players’ spatial features based on deep learning to realize players’ pose estimation. As the experimental results indicate, when a proposed 2-stage classification algorithm is used to classify the videos, the accuracy of identifying layup, the shooting, and other 2-pointers are improved by 21.26% and 6.41%, respectively. And the accuracy of average events sees an improvement of 2.74%. The results imply that the 2-stage classification based on event-occ is effective. After comparing the four methods of classifying players, it is found that there is no significant difference among these four methods about the accuracy of segmenting. Nevertheless, when judged with the time that these methods take separately, FCN-CNN (Fully Convolutional Network-Convolutional Neural Network) based on superpixels has overwhelming advantages. The event analysis method of basketball game video proposed here can realize the automatic analysis of basketball video, which is beneficial to promoting the rapid development of basketball and even sports.
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Aksović, Nikola, Miodrag Kocić, Dragana Berić, and Saša Bubanj. "EXPLOSIVE POWER IN BASKETBALL PLAYERS." Facta Universitatis, Series: Physical Education and Sport, no. 1 (June 1, 2020): 119. http://dx.doi.org/10.22190/fupes200119011a.
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Explosive power in basketball is manifested through various variants of jumps, starting acceleration, sudden changes in direction, deceleration, sudden stops and passing. The aim of this research is to identify and sum up the relevant literature published in the period from 2000 to 2019, focusing on the explosive power of basketball players, and to explain relations between training programs and explosive power development. The results confirmed that explosive power is a significant characteristic of professional basketball players and one of the most important factors for achieving top results. The results show that in spite of the inborn coefficient, the development of explosive power can be realized through planned, rational and well-organized training. A positive correlation was determined between explosive power and running at short distances, jumps and throwing, as well as between explosive power and lean body mass in basketball players of different ages. It is necessary to give greater attention to the training of explosive power, because it is an effective means that contributes to the efficiency of the basketball player.
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Sanjaya, Maharani, Iyakrus Iyakrus, Soleh Solahuddin, and Wahyu Indra Bayu. "The effect of multidirectional skipping on lay-up ability." Jurnal Maenpo : Jurnal Pendidikan Jasmani Kesehatan dan Rekreasi 12, no. 1 (July 1, 2022): 1. http://dx.doi.org/10.35194/jm.v12i1.2070.
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This study aims to determine the effect of jumping rope exercise on the results of the lay-up shoot ability of basketball players at Club Tunas Academy Lahat. This study uses an experimental method with Quasi Experiment Design. This research is quantitative research that uses the research design method "One Group Pretest - Posttest Design. The sample used is 30 players consisting of 15 male players and 15 female players. There are two assessments in this study, namely the player's basketball lay-up shooting ability and the results of the basketball lay-up shoot ability. The analysis technique uses the "t-test" method. After doing the exercises and doing the posttest, there was an average increase of 7.73 for the ability to move the lay-up shoot for basketball and 2.47 for the average increase in the lay-up shoot ability for basketball. As well as the results of the hypothesis for the ability to shoot basketball lay ups, the value of tcount is greater than ttable, which is 21.376 > 1.70, and so is the hypothesis that the results of the basketball lay-up shoot ability are 17.409 > 1.70 then Ha is accepted and Ho is rejected, p. This shows that the jump rope training method influences the results of the lay-up shoot ability of basketball. The implication of this research is that jumping rope exercises can be used in lay-up shoots in basketball games.Key words: skipping, lay-up, basketball.
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Jin, Peng, Xiawen Li, Bin Ma, Hongbo Guo, Zhongxi Zhang, and Lijuan Mao. "Dynamic visual attention characteristics and their relationship to match performance in skilled basketball players." PeerJ 8 (August 19, 2020): e9803. http://dx.doi.org/10.7717/peerj.9803.
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Background Dynamic visual attention is important in basketball because it may affect the performance of players and thus the match outcome. The goals of this study were to investigate the difference in dynamic visual attention characteristics between highly skilled basketball players and nonathletic college students and to explore the relationship between visual attention and game-related performance among the basketball players. Methods In total, 24 highly skilled basketball players and 24 nonathletic college students participated in a multiple object tracking task. The task was conducted so that either the number of targets that were visually tracked or the speed at which a given number of tracked targets moved was altered to examine the difference in dynamic visual attention characteristics between the basketball players and nonathletic college students. The relationship between visual tracking speed (VTS) and game-related statistics, including assists, steals, mistakes, fouls and points scored recorded for every match during the season, was assessed among the basketball players by using Pearson correlations. Results A significant main effect of target tracking load was observed (P < 0.001), with visual tracking performance significantly decreased as target number increased. In addition, the speed at which the targets moved had a significant effect on visual tracking performance (P < 0.001), with tracking performance significantly decreased as target speed increased. However, no significant difference was observed in the abilities of basketball players and nonathletic college students to simultaneously track up to six targets. By contrast, a significant interaction between group and target speed was found (P < 0.001), with the visual tracking accuracy of basketball players significantly greater than that of college students at the higher target speeds examined (P < 0.001). Among basketball players, there were positive, large, and statistically significant correlations in the accuracy in VTS trials and the number of assists (P < 0.001) and between the accuracy in VTS trials and the number of steals (P < 0.001). Conclusion The advantage of skilled basketball players to handle dynamic visual information in a multiple object tracking task was not attributable to the target number but to the target speed. Those athletes with greater dynamic visual attention were more likely to successfully assist or to steal the ball, enhancing performance of the athlete as well as contributing to a more successful team match. These findings may inform basketball training programs to improve player and team performances during matches.
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Zhang, Mingxiang, Xiangjun Miao, Tomislav Rupčić, Pierpaolo Sansone, Tomáš Vencúrik, and Feng Li. "Determining the Relationship between Physical Capacities, Metabolic Capacities, and Dynamic Three-Point Shooting Accuracy in Professional Female Basketball Players." Applied Sciences 13, no. 15 (July 26, 2023): 8624. http://dx.doi.org/10.3390/app13158624.
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Three-point shooting plays an important role in determining the outcomes of basketball games and could be relevant for player selection. However, there has been little research into the relationship between basketball players’ physical capacities, metabolic capacities, and three-point shooting accuracy, particularly among female players. The aim of this study was to examine the relationship between physical capacities, metabolic capacities, and dynamic three-point shooting accuracy in female professional basketball players. Twelve female professional basketball players from the Women’s Chinese Basketball Association (WCBA) league (age: 19.04 ± 1.31 years, height: 181.33 ± 4.90 cm, playing experience: 7.83 ± 1.7 years) were recruited for this study. Pearson correlations and multiple linear regression analysis were run to assess the relationship between physical capacities, metabolic capacities, and dynamic three-point shooting. Results showed that coordination, balance, core strength, and relative average power were positively correlated with three-point shooting accuracy (r > 0.58, p < 0.05), while no other variables showed significant correlations. The current study suggests that coaching staff should consider coordination, balance, core strength, and anaerobic capacities when selecting players as well as in their training periodization if three-point shooting accuracy is considered relevant.
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Gottlieb, Roni, Asaf Shalom, Pedro Emilio Alcaraz, and Julio Calleja-González. "Validity and reliability of a unique aerobic field test for estimating VO2max among basketball players." Scientific Journal of Sport and Performance 1, no. 2 (June 1, 2022): 112–23. http://dx.doi.org/10.55860/trmf2461.
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This study aimed at developing and validating an innovative field test for measuring the aerobic capacity of basketball players during games. Such capacity is necessary for recovering from high frequency anaerobic actions such as sprinting and continuing to perform well. To recover, the body must rebuild its creatine phosphate reserve and emit accumulated phosphate in very short periods of time. The participants included 21 male basketball players on an elite youth league in Israel, aged 16.4 years on average. In addition to participating in the proposed test (Yo-Yo Recovery Test for Basketball Players) twice (test/re-test), the players also performed three previously validated tests (Bruce Protocol Stress Test, Yo-Yo Intermittent Recovery Level 1 Test, and Yo-Yo Endurance Test). For each test, the players’ time and distance covered were documented, as were their maximum oxygen consumption and heartrate during recovery, and their perceived level of exertion. Our findings indicate the validity and reliability of the proposed aerobic field test for basketball players. Moreover, the test requires shorter times and distances for obtaining results than the other three tests. As such, this tool could be highly beneficial for basketball coaches in creating optimal training programs and game plans for each individual player and for the entire team.
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Sun, Huafei. "Improving the Accuracy of Recognition and Evaluation of Technical Movements of Basketball Players Using Deep Learning Algorithms." Journal of Electrical Systems 20, no. 6s (April 29, 2024): 1959–69. http://dx.doi.org/10.52783/jes.3111.
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Deep learning algorithms are revolutionizing the analysis of technical movements in basketball players by extracting intricate patterns and insights from vast amounts of video data. By training neural networks on annotated video sequences of basketball games, these algorithms can automatically detect and classify various technical movements such as dribbling, shooting, passing, and defensive maneuvers. The use of deep learning enables the identification of subtle nuances in player movements, facilitating more accurate performance assessment and actionable feedback for athletes and coaches. This paper introduces a novel approach for analyzing basketball player movements utilizing Anthropometrical Variable Assessment Deep Learning (AVADL). By integrating anthropometric variables with deep learning algorithms, AVADL offers a comprehensive framework for accurately recognizing and evaluating technical movements on the basketball court. We present experimental results demonstrating the effectiveness of AVADL across various dataset sizes and player profiles, showcasing high accuracy and performance metrics. The incorporation of anthropometric measurements provides valuable context into the diverse physical attributes of basketball players, enhancing our understanding of their playing style and performance. Experimental results demonstrate the effectiveness of AVADL across various dataset sizes and player profiles, with training accuracies ranging from 90% to 97% and testing accuracies from 85% to 92%. Precision, recall, and F1-Score metrics consistently show values above 0.80, indicating the robustness of the approach. The incorporation of anthropometric measurements provides valuable context into the diverse physical attributes of basketball players, enhancing our understanding of their playing style and performance.
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Hussein, Ali Kamal, Bashar Mohammed Znad, and Karam Selam Ismail. "Comparing Explosive Strength and Speed – Strength in College of Physical Education and Sport Sciences’ Leagues of Basketball and Handball." Journal of Physical Education 32, no. 4 (December 28, 2020): 66–70. http://dx.doi.org/10.37359/jope.v32(4)2020.1041.
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The importance of the research lies in identifying differences in some physical abilities of basketball and handball and comparing league players of physical education and sport Sciences College/university of Baghdad. The researchers used the descriptive method on 20 players; (10) basketball players and (10), handball players. The results showed that basketball players are better in legs explosive strength test compared to handball players while handball players were better in arms strength – speed test compared to basketball players.
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Li, Fu Qiang. "An Approach to Evaluating the Chinese Male College Student Basketball Players' Specialized Physical Constitution with Fuzzy Information." Advanced Materials Research 962-965 (June 2014): 2681–86. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.2681.
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With the league development, the improvement of college students' man basketball player movement level is important. The men's basketball athlete's special physical quality is to influence basketball level, one of the important factors in college basketball player development stage of special physical quality is good or bad will directly affect the movement to raise the level of college students. According to the characteristics of b asketball players, as well as characteristics of the modem basketball movement, the present situation and trend, the establishment of college students in our country male basketball players special physical quality evaluation items and standards, in order to provide the reference for the future training. In this paper, we investigate the multiple attribute group decision making problems for evaluating the C hinese male college student basketball players ’ specialized physical constitution with f uzzy information . We utilize the f uzzy weighted average ( FWA ) operator to aggregate the f uzzy information corresponding to each alternative and get the overall value of alternatives, then rank the alternatives and select the most desirable one (s) by using the formula of the degree of possibility for the comparison between two fuzzy variables. Finally an illustrative example has been given to show the developed approach . Keywords: Multiple Attribute Group Decision Making (MAGDM),FuzzyInformation,FuzzyWeighted Average (FWA)Operator,Chinese Male College Student, Specialized Physical Constitution
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Zestcott, Colin A., Jessie Dickens, Noah Bracamonte, Jeff Stone, and C. Keith Harrison. "One and Done: Examining the Relationship Between Years of College Basketball Experience and Career Statistics in the National Basketball Association." Journal of Sport and Social Issues 44, no. 4 (May 13, 2020): 299–315. http://dx.doi.org/10.1177/0193723520919815.
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Since 2006, the so-called one and done rule prevents American high school players from joining the National Basketball Association (NBA) without at least 1 year of college basketball experience. While there is debate about the pros and cons of the one and done rule, few studies have fully examined how minimal (or no) college experience relates to performance in the NBA. The current study used publicly available offensive and defensive statistics for all players in the NBA from 1995 to 2016, to examine the relationship between years of college experience and career success in the NBA. Results showed that players with less college experience had better offensive, defensive, and advanced metric (player efficiency rating [PER] and value over replacement player [VORP]) statistics than players with more college experience. However, players with less college experience also made more mistakes in game play, such as turnovers and fouls. The results suggest that college players may not need to attend college to succeed in the NBA.
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Korkmaz, M. F., A. Cetin, and O. Bozduman. "Anthropometric evaluation of ratio between extremity length and body length in basketball player adolescents." Pedagogy of Physical Culture and Sports 24, no. 3 (June 30, 2020): 125–28. http://dx.doi.org/10.15561/26649837.2020.0304.
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Backgrounds and Study Aim: To determine whether the limb length-to-body ratio in young basketball players (15-18 years) is different in comparison to those who do not play basketball, and to contribute to the hypothesis that those with which body type can be more successful in basketball . Materials and Methods: The measurements were performed on 42 individuals (29 boys, 13 girls) who have played basketball for at least three years and 41 individuals (31 boys, 10 girls) who did not play basketball. A standard form was prepared for these measurements and the measurements were made according to this form. The data were summarized using mean and standard deviation values, and their accordance with normal distribution was evaluated with the Shapiro-Wilk test. The t-test was used for evaluating the independent samples. Values of p<0.05 were considered significant. The measurements were performed using a tape measure. Results: As a result of the measurements, the height/fa (forearm) ratio was 7.09 in non-basketball players and 6.71 in basketball players. The height/hl (hand length) ratio was 10.0 in non-basketball players and 9.06 in basketball players. The height /lll (lower limb length) ratio was 1.86 in non-basketball players and 1.73 in basketball players. The height /tl (thigh length) ratio was 3.28 in non-basketball players and 3.41 in basketball players. According to our findings, the ratio of forearm, hand, thigh and leg to body were increased in basketball players. There was no significant difference in terms of gender. Conclusion: Athletes possess anthropological and physiological characteristics specific to the sport in which they participate. In terms of limb length, there was an anthropometric difference between the young population who played basketball and the normal population.
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Hamid, Rashida Hakim, and Preeti Shah. "EFFECT OF DUAL TASK EXERCISES ON REACTION TIME IN SCHOOL BASKETBALL PLAYERS." International Journal of Physiotherapy and Research 8, no. 6 (December 11, 2020): 3688–92. http://dx.doi.org/10.16965/ijpr.2020.176.
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Background: Reaction time is the time taken to respond to a stimulus. Reaction time is a pre-requisite of any sports player. A short reaction time is an indicative of swift movements and attentiveness on field of the player. A player on field should have the ability to multitask. This ability is strengthened using dual task exercises. Method: Participants- 27 school basketball players of 13-16 years were included in the study. Hand dominance was assessed using the handedness questionnaire and leg dominance was assessed by asking the participant to kick the ball. Reaction time was assessed using the reaction timer and dynamic balanced was assessed using the Y balance test. Both the parameters were recorded as a pretest and posttest after intervention of dual task exercises. As an intervention 3 dual task exercises throwing and catching a ball while walking, spot marching and jump up to reach targets and side marching and passing the ball were used. Each exercise was done for a period of 8-10 mins respectively. During this time their regular basketball practice and physical fitness exercises were continued in school respectively. Results: The data was analyzed using SPSS version 24.0. A significant change was found in the reaction time of basketball players with p Value obtained as 7.26E-06. The balance component showed a significant improvement as well. P Values obtained for Anterior direction is 0.048, for posteromedial direction is 0.053and for posterolateral direction is 0.014. Conclusion: Dual task exercises along with basketball training were effective in improving the reaction time and dynamic balance in basketball players. KEY WORDS: Reaction time, dual task exercises, Dynamic balance, Y balance test, School basketball players.
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Shalom, Asaf, Roni Gottlieb, Pedro E. Alcaraz, and Julio Calleja-Gonzalez. "Unique Specific Jumping Test for Measuring Explosive Power in Young Basketball Players: Differences by Gender, Age, and Playing Positions." Sports 12, no. 5 (April 27, 2024): 118. http://dx.doi.org/10.3390/sports12050118.
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When playing basketball, players are required to have high explosive power, which requires the ability to move in efficient, specific, and game-specific movement patterns that combine both horizontal and vertical abilities. Differences have been seen between young male and female basketball players in this measure. The aim of this study was to examine differences in players’ unique movements by gender, age, and playing positions using a novel test for basketball players. This study included 232 young basketball players, male and female, from a range of Israeli leagues, who were divided into three categories: under-14, under-16, and under-18. Our findings showed that males presented better results than females in all age categories. Moreover, females in the under-18 category presented better results than those in the under-14 category, but not more than those in the under-16 category. Differences in playing positions were only examined between males and females in the under-18 category, where players begin to specialize in playing positions, and here, guards showed better results than forwards and centers. Our conclusions highlight the importance of including unique, sport-specific tests in talent identification and selection processes, as these tests can provide valuable information about a player’s skill set and potential for success. The findings are presented in an achievement table of the expected physical fitness results by age and gender for the benefit of basketball coaches and strength and conditioning coaches when assessing their players.