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Journal articles on the topic 'Sports performance optimization'

Author: Grafiati

Published: 11 January 2025

Last updated: 31 July 2025

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1

Xodjaev, Azam. "Sports Science in Wrestling: Training Methodologies and Performance Optimization." ISA Journal of Multidisciplinary (ISAJM) 2, no. 2 (2025): 59–62. https://doi.org/10.5281/zenodo.15380368.

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This study explores the application of sports science to optimize training methodologies and enhance performance outcomes in wrestling. Given the sport's physical and technical demands, wrestling requires a multifaceted approach to training that incorporates strength, agility, endurance, and psychological resilience. Through a comprehensive review of current literature and case studies, this article examines advancements in sports science, including biomechanics, physiological conditioning, mental training, and recovery strategies, and their roles in refining wrestlers' performance. The study

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Pérez-Castilla, Alejandro, and Felipe García-Pinillos. "Sports Biomechanics Applied to Performance Optimization." Applied Sciences 14, no. 9 (2024): 3590. http://dx.doi.org/10.3390/app14093590.

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Tan, Xuefeng, Chenggen Guo, Pu Sun, and Shaojie Zhang. "Performance Optimization Method of Community Sports Facilities Configuration Based on Linear Planning Model." Complexity 2022 (March 29, 2022): 1–7. http://dx.doi.org/10.1155/2022/4489802.

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The conventional community sports facility allocation methods have high minimum costs, and a new community sports facility allocation performance optimization method is designed based on a linear programming model in order to reduce the performance capital investment. The standardized community sports facility allocation performance objective function is established, and a pairwise model is built to divide the feasible and optimal solutions, and the feasible solutions and their constraints are found out. Establish a community sports facility configuration performance optimization model, deline

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4

SIMION, Alexandru, and Gabriel MANGRA. "STRATEGIC OPTIMIZATION OF THE MANAGEMENT OF SPORTS ORGANIZATIONS." Management & Marketing 21, no. 1 (2023): 151–61. http://dx.doi.org/10.52846/mnmk.21.1.09.

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The ways in which sport organizations monitor their operations and evaluate their performance involves careful analysis with a focus on the special characteristics of sport organizations and how these characteristics create the need for sport-specific performance management models. The purpose of the research is the development of models for the analysis of the management of sports organizations, in order to identify the factors of influence and ways to improve their efficiency and effectiveness, respectively to increase the performance of sports organizations. The importance of using performa

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Morriën, Floor, Matthew J. D. Taylor, and Florentina J. Hettinga. "Biomechanics in Paralympics: Implications for Performance." International Journal of Sports Physiology and Performance 12, no. 5 (2017): 578–89. http://dx.doi.org/10.1123/ijspp.2016-0199.

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Purpose:To provide an overview of biomechanical studies in Paralympic research and their relevance for performance in Paralympic sports.Methods:The search terms paralympic biomechanics, paralympic sport performance, paralympic athlete performance, and paralympic athlete were entered into the electronic database PubMed.Results:Thirty-four studies were found. Biomechanical studies in Paralympics mainly contributed to performance enhancement by technical optimization (n = 32) and/or injury prevention (n = 6). In addition, biomechanics was found to be important in understanding activity limitation

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Deuster, Patricia A., and Francis G. OʼConnor. "Human Performance Optimization." Journal of Strength and Conditioning Research 29 (November 2015): S52—S56. http://dx.doi.org/10.1519/jsc.0000000000001118.

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Chen, Si, and Gang Zhao. "High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities." Mobile Information Systems 2021 (April 9, 2021): 1–7. http://dx.doi.org/10.1155/2021/9958703.

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Smart cities allow cities to run more efficiently and have been approved by a lot of cities. During the process of building smart cities, a large amount of data is generated. Particularly, live sports events have been regarded as the inalienable part of smart cities. However, with the improvement in the quality of life, people tend to obtain better watching experience in terms of sports events. For such purpose, this paper proposes the live streaming transmission optimization method based on high-performance server, called HPTO, including two main modules, that is, high-performance server opti

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Hood, Simon, Thomas McBain, Matt Portas, and Iain Spears. "Measurement in Sports Biomechanics." Measurement and Control 45, no. 6 (2012): 182–86. http://dx.doi.org/10.1177/002029401204500604.

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One of the major roles of a sports biomechanist or coach is to assess the movement patterns within sports performances. Movements can be analysed to enhance an individual's technique in terms of efficiency or to provide technical advantage. This paper aims to highlight the different measurement techniques available for the biomechanist to assess the movement characteristics of the technical and mechanical aspects of athletic performance.

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Sun, Wei. "Sports Performance Prediction Based on Chaos Theory and Machine Learning." Wireless Communications and Mobile Computing 2022 (June 26, 2022): 1–11. http://dx.doi.org/10.1155/2022/3916383.

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In order to combine chaos theory and machine learning technology to predict sports performance, a research on sports performance prediction based on chaos theory and machine learning is proposed. This paper takes the sports performance as the goal to predict the data; introduce the chaos theory algorithm, and combine the neural network system and particle swarm optimization algorithm to actively train sports results and ensure the quality of performance prediction. The comparison between shot put data prediction and real data shows that the prediction results given by the model have little dev

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Penichet-Tomas, Alfonso. "Applied Biomechanics in Sports Performance, Injury Prevention, and Rehabilitation." Applied Sciences 14, no. 24 (2024): 11623. https://doi.org/10.3390/app142411623.

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11

Wang, Caixia. "Optimization of sports effect evaluation technology from random forest algorithm and elastic network algorithm." PLOS ONE 18, no. 10 (2023): e0292557. http://dx.doi.org/10.1371/journal.pone.0292557.

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This study leverages advanced data mining and machine learning techniques to delve deeper into the impact of sports activities on physical health and provide a scientific foundation for informed sports selection and health promotion. Guided by the Elastic Net algorithm, a sports performance assessment model is meticulously constructed. In contrast to the conventional Least Absolute Shrinkage and Selection Operator (Lasso) algorithm, this model seeks to elucidate the factors influencing physical health indicators due to sports activities. Additionally, the incorporation of the Random Forest alg

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Nindl, Bradley C., Dianna P. Jaffin, Michael N. Dretsch, et al. "Human Performance Optimization Metrics." Journal of Strength and Conditioning Research 29 (November 2015): S221—S245. http://dx.doi.org/10.1519/jsc.0000000000001114.

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Yang, Xiaojing, and Sunkai Qi. "Research on optimization and design of sports teaching actions based on biomechanics." Molecular & Cellular Biomechanics 21, no. 4 (2024): 495. https://doi.org/10.62617/mcb495.

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The design of sports teaching approaches is an important part of improving athletic performance and skill development among players. As sports grow more competitive, the demand for new and effective teaching methods has never been higher. The limitations of conventional coaching techniques sometimes depend on anecdotal evidence and subjective assessments, which provide inconsistent outcomes for training. The purpose of this study is to enhance athletic performance and reduce injury risks by developing sports teaching actions based on biomechanics. The proposed novel chaos sparrow search fine-t

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Ogugua Chimezie Obi, Samuel Onimisi Dawodu, Shedrack Onwusinkwue, Femi Osasona, Akoh Atadoga, and Andrew Ifesinachi Daraojimba. "Data science in sports analytics: A review of performance optimization and fan engagemen." World Journal of Advanced Research and Reviews 21, no. 1 (2024): 2663–70. http://dx.doi.org/10.30574/wjarr.2024.21.1.0370.

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The intersection of data science and sports analytics has emerged as a powerful catalyst in revolutionizing the landscape of sports performance and fan engagement. This review explores the multifaceted role of data science in optimizing athlete performance and enhancing the overall experience for sports enthusiasts. In the realm of performance optimization, data science has become an indispensable tool for coaches, analysts, and athletes alike. Advanced statistical models, machine learning algorithms, and predictive analytics are employed to extract actionable insights from massive datasets en

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Ogugua, Chimezie Obi, Onimisi Dawodu Samuel, Onwusinkwue Shedrack, Osasona Femi, Atadoga Akoh, and Ifesinachi Daraojimba Andrew. "Data science in sports analytics: A review of performance optimization and fan engagemen." World Journal of Advanced Research and Reviews 21, no. 1 (2024): 2663–70. https://doi.org/10.5281/zenodo.13377860.

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The intersection of data science and sports analytics has emerged as a powerful catalyst in revolutionizing the landscape of sports performance and fan engagement. This review explores the multifaceted role of data science in optimizing athlete performance and enhancing the overall experience for sports enthusiasts. In the realm of performance optimization, data science has become an indispensable tool for coaches, analysts, and athletes alike. Advanced statistical models, machine learning algorithms, and predictive analytics are employed to extract actionable insights from massive datasets en

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Wang, Zhongjie, Hanlie Cheng, and Qiang Qin. "The Research on Video Analysis of Key Motion Positions Based on Deep Learning Technology." International Journal of e-Collaboration 21, no. 1 (2025): 1–16. https://doi.org/10.4018/ijec.373713.

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This paper innovatively explores sports video key posture detection through deep learning, showcasing its transformative applications in sports analysis. It pioneers model optimization strategies for heightened accuracy and real-time performance. Leveraging Convolutional Neural Networks (CNNs) and Full Convolutional Neural Networks (FCNs), the study introduces a novel deep learning architecture that adeptly captures athletes' gestures. Future prospects encompass innovative advancements like cross-project posture analysis and personalized training recommendations, setting a new standard in athl

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Wang, Changlin, Zhonghua Lu, and Jiatong Yu. "Biological optimization of sustainable agricultural systems through genetic algorithms and nitrogen balance management." Molecular & Cellular Biomechanics 22, no. 3 (2025): 1073. https://doi.org/10.62617/mcb1073.

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In order to improve resource efficiency and enhance sustainability in biological systems, this study investigates the optimization of biomechanical processes by combining genetic algorithms (GA) with human performance and recovery management. The study aims to minimize injury risks and maximize recovery efficiency by utilizing GA to model biomechanical processes. To ensure a dynamic balance in physical performance, the study presents an ideal optimization framework in which human biomechanics is optimized for enhanced sports performance and injury prevention. The model considers factors such a

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Wang, Yuanshuo. "Optimization Strategy of Basketball Players' Sports Performance Based on Literature Analysis." Advances in Economics, Management and Political Sciences 138, no. 1 (2025): 198–204. https://doi.org/10.54254/2754-1169/2024.19235.

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With the change and development of The Times, our sports continue to have new technologies into the integration, the same has been improved, the world record is constantly refreshed. In the field of basketball, international events such as the Olympic Games and the World Cup have attracted wide attention around the world, which has promoted the globalization of basketball. At the same time, with the development of science and technology, training has become more and more scientific, and the physical quality of athletes has also been strengthened, for example, the height of players in basketbal

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Mănescu, Dan Cristian. "Big Data Analytics Framework for Decision-Making in Sports Performance Optimization." Data 10, no. 7 (2025): 116. https://doi.org/10.3390/data10070116.

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The rapid proliferation of wearable sensors and advanced tracking technologies has revolutionized data collection in elite sports, enabling continuous monitoring of athletes’ physiological and biomechanical states. This study proposes a comprehensive big data analytics framework that integrates data acquisition, processing, analytics, and decision support, demonstrated through synthetic datasets in football, basketball, and athletics case scenarios, modeled to represent typical data patterns and decision-making workflows observed in elite sport environments. Analytical methods, including gradi

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Ding, Zhong. "Personalized Optimization of Sports Training Plans Based on Big Data and Intelligent Computing." Scalable Computing: Practice and Experience 26, no. 3 (2025): 1395–402. https://doi.org/10.12694/scpe.v26i3.4102.

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In order to effectively improve the athletic performance of athletes and make their training more systematic, scientific, and standardized, the author proposes a personalized optimization study of sports training plans based on big data and intelligent computing. Based on the research on big data and intelligent computing, the author designs a human-computer interaction system using association rule mining algorithms, data fusion processing in sports training decision support systems, and improved Apriori algorithm frequent association rules. A sports training plan leveraging big data and inte

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Tiwari, Ashish. "The Role of Friction in Athletic Performance: A Descriptive Analysis." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31958.

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Friction is a fundamental force that has a substantial impact on athletic performance across all sports disciplines. This descriptive research investigates the varied impact of friction in building athletic skill. This study looks at how friction affects running, jumping, throwing, and other sports activities by examining static and kinetic frictional forces, as well as elements that influence frictional interactions. The research examines the interaction of athletes, footwear, surfaces, and equipment to explain how friction governs propulsion, stability, and efficiency in sports activity. The

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McDevitt, Sam, Haley Hernandez, Jamison Hicks, et al. "Wearables for Biomechanical Performance Optimization and Risk Assessment in Industrial and Sports Applications." Bioengineering 9, no. 1 (2022): 33. http://dx.doi.org/10.3390/bioengineering9010033.

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Wearable technologies are emerging as a useful tool with many different applications. While these devices are worn on the human body and can capture numerous data types, this literature review focuses specifically on wearable use for performance enhancement and risk assessment in industrial- and sports-related biomechanical applications. Wearable devices such as exoskeletons, inertial measurement units (IMUs), force sensors, and surface electromyography (EMG) were identified as key technologies that can be used to aid health and safety professionals, ergonomists, and human factors practitioner

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Du, Zhuoqun, Yisheng Liu, Yuyan Xue, and Boyang Liu. "Optimizing Economy with Comfort in Climate Control System Scheduling for Indoor Ice Sports Venues’ Spectator Zones Considering Demand Response." Algorithms 18, no. 7 (2025): 446. https://doi.org/10.3390/a18070446.

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With the growing popularity of ice sports, indoor ice sports venues are drawing an increasing number of spectators. Maintaining comfort in spectator zones presents a significant challenge for the operational scheduling of climate control systems, which integrate ventilation, heating, and dehumidification functions. To explore economic cost potential while ensuring user comfort, this study proposes a demand response-integrated optimization model for climate control systems. To enhance the model’s practicality and decision-making efficiency, a two-stage optimization method combining multi-object

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24

Zhang, Jingli, XueYing Shi, and Yingying Tang. "Optimization of Sports Event Operations Through Algorithmic Scheduling and Management." International Journal of Information System Modeling and Design 16, no. 1 (2025): 1–23. https://doi.org/10.4018/ijismd.367033.

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The operation of sports events requires a highly systematic and refined approach, involving comprehensive planning, scheduling, and resource allocation to meet the needs of participants and spectators while achieving economic and social benefits. For large-scale sports games, the method of diagonal line pass distribution is employed to ensure fairness by preventing athletes from the same unit or with similar performance levels from competing in the same group. This paper proposes an automated arrangement management system that combines the diagonal line pass method with Genetic Algorithms (GA)

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Yin, Chenggong, and Lijie Wang. "Application of sports sensors in motion correction in competitive sports." Molecular & Cellular Biomechanics 22, no. 3 (2025): 1160. https://doi.org/10.62617/mcb1160.

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This study aims to explore the application of sports sensors in motion correction within competitive sports, providing both theoretical and practical guidance. With the advancement of technology, sensor technology is increasingly being applied in sports training and competition, aiding athletes and coaches in more accurately analyzing movements, enhancing performance, and reducing injury risks. The research employs both qualitative and quantitative methods to collect and analyze data from athletes during training and competition, examining the roles of sensors in stride length, stride frequenc

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Ravi Kiran Gadiraju. "Leveraging Machine Learning Algorithms for Performance Prediction and Optimization in Sports Data Analytics." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 3 (2025): 921–31. https://doi.org/10.32628/cseit25113375.

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The use of data analytics has revolutionised sports strategy planning and performance optimisation in the last few years. This research delves into the use of data analytics to boost sports performance. It specifically looks at sophisticated methods that can improve team strategy, game results, and individual performance. This study applies machine learning techniques to analyze official badminton match data to predict match outcomes and assess player profiles. By employing algorithms such as XGBoost and Support Vector Machine, the research achieved notable predictive accuracy—XGBoost reached

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Ariyaratne, M. K. A., and R. M. Silva. "Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms." International Journal of Computer Science in Sport 21, no. 1 (2022): 49–92. http://dx.doi.org/10.2478/ijcss-2022-0003.

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Abstract This review explores the avenues for the application of meta-heuristics in sports. The necessity of sophisticated algorithms to investigate different NP hard problems encountered in sports analytics was established in the recent past. Meta-heuristics have been applied as a promising approach to such problems. We identified team selection, optimal lineups, sports equipment optimization, scheduling and ranking, performance analysis, predictions in sports, and player tracking as seven major categories where meta-heuristics were implemented in research in sports. Some of our findings incl

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Haolin Ma. "Video Analysis of Physical Education Teaching and Design of Intelligent Assistant Teaching System: Based on Motion Recognition and Optimization Algorithm." Journal of Electrical Systems 20, no. 6s (2024): 85–95. http://dx.doi.org/10.52783/jes.2618.

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Nowadays, science and technology has rapidly increasing due to the specific requirements of education. The main aim of this technique is to enhance the physical education activities and helps sports man to finest teaching facilities of these activities. Moreover, the body changes with sports activities based on Deep Learning (DL) frameworks and classifier technology are examined to promote the practical application. Therefore, this paper Deep Reinforcement Learning based Chimp optimization (DRLbCO) algorithm was developed to improve the teaching efficiency of physical education system through

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Wen, Yuan. "Optimization design of biomechanical parameters based on advanced mathematical modelling." Molecular & Cellular Biomechanics 21, no. 3 (2024): 463. http://dx.doi.org/10.62617/mcb463.

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In recent years the use of biomechanics in athletic training and performance has received a lot of attention, especially in university sports programs. Biomechanics is the study of the mechanical principles that control how biological things move or are constructed. It is critical for understanding the intricate relationships between physical performance, body mechanics, and injury prevention. The objective of this study is to establish how biomechanical variables can be designed and optimized in universities using mathematical modeling. In this study, a novel Emperor Penguin Search-driven Dyn

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Kang, Lu. "STRUCTURAL UPGRADING MEASUREMENT AND OPTIMIZATION PATH OF SPORTS INDUSTRY - AN EXAMINATION OF CHINA'S SOLUTION." SPORT, MEDIA AND BUSINESS 11, no. 1 (2025): 7–24. https://doi.org/10.58984/smb2501007k.

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It is of great significance to explore the level of structural upgrading and optimization path of the sports industry to promote the transformation and development of the sports industry. Taking the structure of China's sports industry as the research object, a quantitative analysis method is adopted to construct a model for measuring the structural upgrading of China's sports industry, measuring the external structure of China's sports industry from 2006 to 2023 by the index of the proportion of the sports industry in the economic structure, and the direction and rate of the internal structur

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Xu, Wei, Wenying Xiong, Zhe Shao, and Yun Li. "Analysis of Effectiveness and Performance Prediction of Sports Flipped Classroom Teaching Based on Neural Networks." Scientific Programming 2021 (July 30, 2021): 1–7. http://dx.doi.org/10.1155/2021/5284457.

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Traditional physical education methods are unable to meet this requirement due to the practical nature of sports skill teaching. As a result, as the times demanded, the flipped classroom based on neural network technology arose. It has the potential to not only promote the modernization of physical education but also to ensure that it has a positive educational impact. This is a mode of instruction. Furthermore, colleges and universities are increasingly focusing on college students’ overall quality development. A method for predicting college students’ sports performance using a particle swar

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Computer Engineering, Journal of Electrical and. "Retracted: Improved Blockchain Technology for Performance Optimization Model Design of Sports Clubs." Journal of Electrical and Computer Engineering 2023 (December 20, 2023): 1. http://dx.doi.org/10.1155/2023/9862625.

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Anghel, Lucreția, Tudor Vladimir Gurau, Gabriela Gurau, et al. "The Role of Biomarkers in Elite Sports." Balneo and PRM Research Journal, Vol.14, no.3 (September 1, 2023): 581. http://dx.doi.org/10.12680/balneo.2023.581.

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Biomarkers have emerged as valuable tools in the realm of elite sports, providing objective measures of athletes' physiological responses and potential for performance optimization. This article review delves into the significance and implications of biomarkers in elite sports, emphasizing their crucial role in supporting athletes' training, recovery, and overall success. The integration of biomarkers offers unprecedented opportunities for evidence-based decisions, personalized strategies, and injury prevention, revolutionizing the landscape of elite sports. Through comprehensive literature re

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Seçkin, Ahmet Çağdaş, Bahar Ateş, and Mine Seçkin. "Review on Wearable Technology in Sports: Concepts, Challenges and Opportunities." Applied Sciences 13, no. 18 (2023): 10399. http://dx.doi.org/10.3390/app131810399.

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Wearable technology is increasingly vital for improving sports performance through real-time data analysis and tracking. Both professional and amateur athletes rely on wearable sensors to enhance training efficiency and competition outcomes. However, further research is needed to fully understand and optimize their potential in sports. This comprehensive review explores the measurement and monitoring of athletic performance, injury prevention, rehabilitation, and overall performance optimization using body wearable sensors. By analyzing wearables’ structure, research articles across various sp

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Hamdaoui, Touhami, Noureddine Ghennam, Rami Bouchouareb, and Hatem Ghouili. "Exploring the Integration and Implications of Artificial Intelligence Chatbots in the Realm of Sports Science Research, Training, and Rehabilitation." Tunisian Journal of Sports Science and Medicine 2, no. 3 (2024): 6–16. https://doi.org/10.61838/kman.tjssm.2.3.2.

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Background: The field of sports science has been fundamentally transformed by the integration of artificial intelligence (AI) technologies. AI has enabled advances in areas such as performance optimization, training personalization, injury risk assessment and prevention, talent recognition, rehabilitation, athlete monitoring, and wellness optimization. Objective: This review aims to explore the diverse impact of AI in sports science, highlighting advances in AI techniques, the challenges and limitations of integrating AI tools, and the emerging role of AI chatbots in shaping the future of spor

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Xiao, Yuchun, Zhuo Bi, and Zhibin Chen. "Tech Optimization in Cybersecurity Defenses by Advanced ML Methods: The Use Case of Volleyball Industry." Computational Intelligence and Neuroscience 2022 (May 17, 2022): 1–7. http://dx.doi.org/10.1155/2022/9907427.

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Individual and team performance can be improved by utilizing “smart” devices and applications that are connected through networks. In sports, the Internet of Things (IoT) refers to all of the “smart” devices and applications linked through networks to reduce injuries to the bare minimum, develop advanced training techniques, and apply analytical advanced sports improvement methodologies to improve sports performance in general. The Internet of Things (IoT) in sports is closely related to the objective of both security and privacy in sports, which has become a topic of crucial concern for the s

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Cong, Rui, and Hailong Wang. "Prediction of Evolution and Development Trend in Sports Industry Cluster Based on Particle Swarm Optimization." Scientific Programming 2021 (December 26, 2021): 1–8. http://dx.doi.org/10.1155/2021/7607623.

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Sports industry cluster refers to the economic phenomenon that sports related enterprises gather in a large number in a specific area. For the sports enterprises in the cluster, they can obtain huge competitive advantages through enterprise agglomeration, thus obtaining better development and rich economic benefits. The optimization of particle swarm optimization is interlinked with the agglomeration of industrial clusters. Therefore, in view of the limitation of the standard particle swarm optimization (PSO) algorithm, an improved particle swarm optimization algorithm-diaphragm particle swarm

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Li, Min, and Jianwei Zhong. "Elements and Overall Optimization of University Self-Organizing Physical Education Teaching System Based on Holistic Theory." Scientific Programming 2022 (February 3, 2022): 1–9. http://dx.doi.org/10.1155/2022/9410347.

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The fact that self-organized physical education teaching systems in universities should have diversity and imbalance has been weakened, and we need to focus on the self-thinking, self-learning, and uncertain factors in the teaching process. The components of the entire teaching system are known as teaching elements. We cannot understand the integrity of teaching elements without understanding system theory. The teaching in physical education classes is the same way. This paper analyzes the elements and overall optimization of university self-organizing physical education teaching system using

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Li, Bo, and Huaiguo Jing. "Synergizing Material Chemistry and Biomechanics for Enhanced Sports Equipment: Optimization of Carbon Nanotubes/Mg Nanocomposites." Science of Advanced Materials 15, no. 11 (2023): 1454–61. http://dx.doi.org/10.1166/sam.2023.4583.

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The production of sports equipment necessitates a delicate balance between comfort, performance, and safety. Achieving this equilibrium depends on a profound understanding of material chemistry and the biomechanical considerations that come into play as athletes push their bodies to the limits. In recent years, composite materials have gained substantial attention for their impressive mechanical and physical properties. Among these, carbon nanotube (CNT) reinforced magnesium matrix composites (MMCs) have emerged as promising contenders. These materials are synthesized using powder metallurgy a

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Zuo, Ning-Ning, Jing-Guang Qian, and Qiang Ye. "A Finite Element Modeling for Performance Optimization in Elite Trampoline." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 6446–50. http://dx.doi.org/10.1166/jctn.2016.5584.

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This paper built dynamic analysis on performance optimization and simulation in sports trampoline. The validity of this method is satisfied by comparing between the actual and the simulated loading experiment. The elite gymnasts take advantage of maximizing the elastic energy of the trampoline bed with simulation analysis, which is a non-invasive method for individual optimal performance in training. Using this method, exploiting the elastic force from the trampoline bed during leg flexion and extension is available.

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Sell, Timothy C., Robert H. Lutz, and Mallory S. Faherty. "The Warrior Model for Human Performance Optimization." Sports Medicine and Arthroscopy Review 27, no. 3 (2019): 99–106. http://dx.doi.org/10.1097/jsa.0000000000000248.

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Alidjanovna, Aminova Aziza. "Improving the methodology of training wrestling sports specialists." International Journal of Pedagogics 5, no. 1 (2025): 96–98. https://doi.org/10.37547/ijp/volume05issue01-26.

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The training of wrestling sports specialists requires a comprehensive and scientifically structured methodology that integrates physical conditioning, technical skills, psychological resilience, and recovery strategies. Traditional training methods, while effective in developing fundamental skills, must be supplemented with modern evidence-based approaches to optimize athlete performance and reduce injury risks. This study explores contemporary advancements in sports science, including periodization, strength and endurance training, biomechanical analysis, mental conditioning, and nutritional

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González Parra, Gilberto C. "Optimization of swimming performance in triathlon." Journal of Human Sport and Exercise 4, no. 1 (2009): 69–71. http://dx.doi.org/10.4100/jhse.2009.41.08.

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Rasmussen, J., L. J. Holmberg, K. Sørensen, M. Kwan, M. S. Andersen, and M. de Zee. "Performance optimization by musculoskeletal simulation." Movement & Sport Sciences 75, no. 1 (2012): 73. http://dx.doi.org/10.3917/sm.075.0073.

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Balasubramanian, Srinivas. "Leveraging AI for Real-Time Data Analytics in Sports Entertainment." International Scientific Journal of Engineering and Management 02, no. 06 (2023): 1–7. https://doi.org/10.55041/isjem01228.

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Artificial Intelligence (AI) is changing sports entertainment with real-time data analytics, player performance, fan engagement, and game strategies. This paper explores how AI-driven analytics can process huge amount of sports data in real time basis and provide insight for coaches, teams, and audiences. Furthermore, this discusses the challenges that are associated with AI adoption in sports entertainment. Additionally, this paper discusses the challenges associated with AI adoption in sports, such as ethical concerns, data privacy, technology biases, and the potential impact on human decisi

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Mateus, Nuno, Eduardo Abade, Diogo Coutinho, Miguel-Ángel Gómez, Carlos Lago Peñas, and Jaime Sampaio. "Empowering the Sports Scientist with Artificial Intelligence in Training, Performance, and Health Management." Sensors 25, no. 1 (2024): 139. https://doi.org/10.3390/s25010139.

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Artificial Intelligence (AI) is transforming the field of sports science by providing unprecedented insights and tools that enhance training, performance, and health management. This work examines how AI is advancing the role of sports scientists, particularly in team sports environments, by improving training load management, sports performance, and player well-being. It explores key dimensions such as load optimization, injury prevention and return-to-play, sports performance, talent identification and scouting, off-training behavior, sleep quality, and menstrual cycle management. Practical

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Zhu, Bin. "Biomechanical factors affecting sports injuries of college basketball players and training optimization." Molecular & Cellular Biomechanics 22, no. 2 (2025): 718. https://doi.org/10.62617/mcb718.

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Basketball is a physically demanding sport that involves high-intensity movement like jumping, cutting, and rapid direction changes. College basketball players are particularly susceptible to sports injuries due to the repetitive stress placed on their musculoskeletal systems. College basketball players frequently suffer from sports-related injuries due to improper movement techniques, excessive usage, and high physical demands. The study analyzes the biomechanical factors affecting sports injuries among college basketball players and develops optimized training programs that focus on injury p

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Huang, Tao. "Optimization of college students’ track and field sprinting technique based on biomechanical analysis." Molecular & Cellular Biomechanics 22, no. 5 (2025): 1871. https://doi.org/10.62617/mcb1871.

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Sprinting performance is affected by a variety of biomechanical factors, and optimizing the techniques in all phases is crucial for improving performance. Based on biomechanical analysis, this study used experimental methods such as high-speed camera, motion capture system, force platform and electromyography to collect and analyze data on stride length, stride frequency, ground reaction force and muscle activation pattern of sprinters. The results showed that optimizing the starting posture, acceleration gait matching, uniform running economy and anti-fatigue ability in the closing phase can

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Huang, Jianmin, Xia Chen, Wenbo Zheng, Ziyang Pan, Luyi Shen, and Jierong Zhou. "Optimization of Carbon Board Design Based on Multi-Day Standard Optimization Model." Journal of Big Data and Computing 2, no. 3 (2024): 39–49. https://doi.org/10.62517/jbdc.202401308.

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As people become increasingly aware of the potential of carbon board technology to significantly improve athlete performance, especially in long-distance events, this study aims to address limitations of existing carbon board optimization research. Carbon board running shoes are added to the original running shoes. Carbon board is a carbon fiber composite material. It has the advantages of light weight, toughness, more elasticity, and good fatigue resistance. Compared with soft soles, carbon board running shoes can improve the support for the arch of the foot, making the support more uniform,

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Zhang, Xiang, Gongbing Shan, Ye Wang, Bingjun Wan, and Hua Li. "Wearables, Biomechanical Feedback, and Human Motor-Skills’ Learning & Optimization." Applied Sciences 9, no. 2 (2019): 226. http://dx.doi.org/10.3390/app9020226.

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Biomechanical feedback is a relevant key to improving sports and arts performance. Yet, the bibliometric keyword analysis on Web of Science publications reveals that, when comparing to other biofeedback applications, the real-time biomechanical feedback application lags far behind in sports and arts practice. While real-time physiological and biochemical biofeedback have seen routine applications, the use of real-time biomechanical feedback in motor learning and training is still rare. On that account, the paper aims to extract the specific research areas, such as three-dimensional (3D) motion

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