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Artículos de revistas sobre el tema "Golf swing"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 20 de febrero de 2023

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1

Matsumoto, Kenta, Nobutaka Tsujiuchi, Akihito Ito, Hiroshi Kobayashi, Masahiko Ueda, and Kosuke Okazaki. "Proposal of Golf Swing Analysis Method Using Singular Value Decomposition." Proceedings 49, no. 1 (2020): 91. http://dx.doi.org/10.3390/proceedings2020049091.

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We analyzed the relationship between the cooperative actions of golf swings and the differences in swing trajectory. To extract cooperative actions from different swings, we acquired swing data in an experiment on an experienced golfer who swung with two different trajectories. We measured the swings with motion capture system (VICON). We built an observance matrix from the collected positional data and conducted singular value decomposition (SVD) on it. The SVD yielded the cooperative actions as independent modes. Next, we compared the cooperative actions of different swing trajectories in th

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2

McHardy, A., H. Pollard, and G. Bayley. "A comparison of the modern and classic golf swing: a clinician\'s perspective." South African Journal of Sports Medicine 18, no. 3 (2006): 80. http://dx.doi.org/10.17159/2078-516x/2006/v18i3a239.

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Objective. There is little descriptive research on the motion the body displays during the golf swing. The purpose of this research is to review the modern golf swing and compare its motion to the classic golf swing. Discussion. The comparison revealed subtle but significant differences in the backswing and the follow-through positions. The potential implications for power and injury, particularly of the lower back, are discussed. The discussion describes a third swing, the hybrid swing, which is a combination of the classic and modern swing. The hybrid swing may potentially reduce the chances

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3

Liu, Jen-Jui, Jacob Newman, and Dah-Jye Lee. "Using Artificial Intelligence to Provide Visual Feedback for Golf Swing Training." Electronic Imaging 2021, no. 6 (2021): 321–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.6.iriacv-321.

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Golf players spend hours perfecting their swing. It takes much practice and dedicated effort to train their body to make an effective swing. In order to train the body in such a way, golf players must be extremely mindful about the placement and motion of key body parts, such as wrists, elbows, shoulders, and torso. With correct placement and motion of key body parts, golf players can achieve great accuracy and consistency in their swings. In this research, we build on our previous work in evaluating the quality of a golf swing. Using a deep neural network, we are able to analyze a golf swing

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4

Si, Jongwook, and Sungyoung Kim. "Golf Swing Analysis using Multiple Golf Swing Trajectories." Journal of Korean Institute of Information Technology 20, no. 3 (2022): 137–46. http://dx.doi.org/10.14801/jkiit.2022.20.3.137.

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5

Bourgain, Maxime, Philippe Rouch, Olivier Rouillon, Patricia Thoreux, and Christophe Sauret. "Golf Swing Biomechanics: A Systematic Review and Methodological Recommendations for Kinematics." Sports 10, no. 6 (2022): 91. http://dx.doi.org/10.3390/sports10060091.

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Numerous studies have been conducted to investigate golf swing performance in both preventing injury and injury occurrence. The objective of this review was to describe state-of-the-art golf swing biomechanics, with a specific emphasis on movement kinematics, and when possible, to suggest recommendations for research methodologies. Keywords related to biomechanics and golf swings were used in scientific databases. Only articles that focused on golf-swing kinematics were considered. In this review, 92 articles were considered and categorized into the following domains: X-factor, crunch factor,

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6

Bourgain, Maxime, Christophe Sauret, Grégoire Prum, et al. "Effect of Horizontal Ground Reaction Forces during the Golf Swing: Implications for the Development of Technical Solutions of Golf Swing Analysis." Proceedings 49, no. 1 (2020): 45. http://dx.doi.org/10.3390/proceedings2020049045.

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The swing is a key movement for golf. Its in-field performance could be estimated by embedded technologies, but often only vertical ground reaction forces (VGRF) are estimated. However, as the swing plane is inclined, horizontal ground reaction forces (HGRF) are expected to contribute to the increase of the club angular velocity. Thus, this study aimed at investigating the role of the HGRF during the golf swing. Twenty-eight golf players were recruited and performed 10 swings with their own driver club, in a motion analysis laboratory, equipped with a full body marker set. Ground reaction forc

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7

Ming, Aiguo, and Makoto Kajitani. "Development of a Golf Swing Robot to Simulate Human Skill." Journal of Robotics and Mechatronics 12, no. 3 (2000): 325–32. http://dx.doi.org/10.20965/jrm.2000.p0325.

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We propose a new golf swing robot to simulate dynamic skill of motion control in human golf swing action, that is, multi-step acceleration by dynamic drive. Human swing is simplified as a motion of two-step acceleration, realized by dynamic coupling drive between equivalent shoulder joint and wrist joint. According to the simplified model, a manipulator with one actuated joint and one passive joint equipped with mechanical stopper or brake is proposed as the mechanism of golf swing robot. A small prototype of the golf swing robot to swing a club for junior has been developed, and swing experim

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8

Lv, Dong Yue, Zhi Pei Huang, Li Xin Sun, Neng Hai Yu, and Jian Kang Wu. "Model-Based Golf Swing Reconstruction." Applied Mechanics and Materials 530-531 (February 2014): 919–27. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.919.

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To increase the efficiency of golf training, 3D swing reconstruction is broadly used among golf researchers. Traditional reconstruction methods apply motion capture system (MOCAP) to gain golfers motion data and drive bio-mechanical model directly. The cost of MOCAP system restricts the application area of golf research and the reconstruction quality of swing relies on the accuracy of the motion data. We introduced the dynamical analysis into swing reconstruction and proposed a Dynamic Bayesian Network (DBN) model with Kinect to capture the swing motion. Our model focused on modeling the bio-m

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9

Villarrasa-Sapiña, Israel, Nuria Ortega-Benavent, Gonzalo Monfort-Torres, Jesús Ramon-Llin, and Xavier García-Massó. "Test–Retest Reliability of Task Performance for Golf Swings of Medium- to High-Handicap Players." Sensors 22, no. 23 (2022): 9069. http://dx.doi.org/10.3390/s22239069.

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Background: Golf swing performance in medium- to high-handicap players must be reliably measured to use this variable in both research studies and in applied settings. Nevertheless, there are no studies published on this topic and test–retest evidence is only available for low-handicap players. The aim of this study was to determine the number of attempts necessary to obtain a reliable measurement protocol for swing performance variables in medium- to high-handicap players. Methods: Ten amateur players (55.67 (13.64) years, 78.4 (11.4) kg, 1.75 (7.95) m) took part in a test–retest study in two

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10

Wheare, Matilda Jane, Maximillian J. Nelson, Ryan Lumsden, Alec Buttfield, and Robert George Crowther. "Reliability and Validity of the Polhemus Liberty System for Upper Body Segment and Joint Angular Kinematics of Elite Golfers." Sensors 21, no. 13 (2021): 4330. http://dx.doi.org/10.3390/s21134330.

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Golf swing analysis is common in both recreational and professional levels where players are searching for improvements in shot accuracy and distance. The use of motion analysis systems such as the portable Polhemus Liberty system is gaining interest by coaches and players; however, to date, no research has examined the usefulness of the Polhemus Liberty system for golf swing analysis. Therefore, the purpose of this study was to determine the reliability of the Polhemus Liberty system and validity compared to the VICON Nexus motion analysis system when assessing segment (pelvis and thorax) and

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11

Park, Glenn. "Golf swing training device." Journal of the Acoustical Society of America 122, no. 6 (2007): 3146. http://dx.doi.org/10.1121/1.2822933.

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12

Stastny, Petr, Adam Maszczyk, Kristina Tománková, et al. "Kinetic and Kinematic Differences in a Golf Swing in One and Both Lower Limb Amputees." Journal of Human Kinetics 48, no. 1 (2015): 33–41. http://dx.doi.org/10.1515/hukin-2015-0089.

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AbstractAmputee golfers need to cope with the absence of sole proprioception, a decreased range of swing motion and other factors which should be recognized for training purposes. The aim of this study was to determine the kinetic and kinematic differences in the golf swing in one leg and two legs amputees. The participants consisted of two males and one female at a professional or amateur level with a different degree of disability. Each participant was taped by 3D markers and performed five golf swings with the iron 6. The intraclass correlation coefficient (ICC) did not vary between individ

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13

Kim, Myeongsub, and Sukyung Park. "Golf Swing Segmentation from a Single IMU Using Machine Learning." Sensors 20, no. 16 (2020): 4466. http://dx.doi.org/10.3390/s20164466.

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Golf swing segmentation with inertial measurement units (IMUs) is an essential process for swing analysis using wearables. However, no attempt has been made to apply machine learning models to estimate and divide golf swing phases. In this study, we proposed and verified two methods using machine learning models to segment the full golf swing into five major phases, including before and after the swing, from every single IMU attached to a body part. Proposed bidirectional long short-term memory-based and convolutional neural network-based methods rely on characteristics that automatically lear

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14

Yoon, Se-Jin, Jeong-Dug Sul, and Byung-Hoon Woo. "Effects of Back Swing Speed on Golf Swing." Korean Journal of Physical Education 58, no. 5 (2019): 251–61. http://dx.doi.org/10.23949/kjpe.2019.07.58.5.21.

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15

Yoon, Se-Jin, Jeong-Dug Sul, and Byung-Hoon Woo. "Effects of Back Swing Speed on Golf Swing." Korean Journal of Physical Education 58, no. 5 (2019): 251–61. http://dx.doi.org/10.23949/kjpe.2019.09.58.5.21.

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16

Suzuki, Soichiro. "Torque Planning of a New Golf-Swing Robot to Emulate Skillful Golfers." Journal of Robotics and Mechatronics 16, no. 4 (2004): 355–61. http://dx.doi.org/10.20965/jrm.2004.p0355.

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The performance of golf clubs and balls is often evaluated by using a golf-swing robot. However, the evaluation is not reliable, because the robot cannot swing a golf club like a skillful golfer. In this study, a new golf-swing robot that can adjust its motion to the characteristics of individual golf clubs by emulating a skillful golfer is investigated analytically and experimentally. The wrist is released freely, and the shoulder is controlled by a torque plan that considers the effect of the whole-body motion of a golfer. Thus, this robot can emulate skillful golfers and perform highly reli

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17

Macadam, Paul, Anita Chau, and John Cronin. "Wearable resistance acutely enhances club head speed in skilled female golfers." International Journal of Sports Science & Coaching 14, no. 5 (2019): 675–80. http://dx.doi.org/10.1177/1747954119863882.

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Golf is a skill-based sport which requires optimal swing mechanics to improve golf performance. As practitioners seek training methods to improve swing kinetics without compromising swing kinematics, loading through wearable resistance is one training modality which enables the golf swing to be performed in an overloaded manner. The purpose of this research therefore was to explore the acute effects of wearable resistance on golf swing performance measures. A randomised cross-over design was used with five skilled female golfers (22.0 ± 2.5 years, 163.1 ± 3.3 cm, 57.1 ± 3.4 kg and handicap 4 ±

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18

Connolly, Christine. "A golf swing analysis tool from Callaway Golf." Sensor Review 27, no. 1 (2007): 14–16. http://dx.doi.org/10.1108/02602280710723415.

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19

Nesbit, Steven M., Terry A. Hartzell, John C. Nalevanko, et al. "A Discussion of Iron Golf Club Head Inertia Tensors and Their Effects on the Golfer." Journal of Applied Biomechanics 12, no. 4 (1996): 449–69. http://dx.doi.org/10.1123/jab.12.4.449.

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This paper discusses the inertia tensors of iron golf club heads and their influence on the swing of a golfer and the behavior of the golf club. Inertia tensors of various five-iron club head configurations were determined using solid modeling and were compared with equivalent solid ellipsoids. A golf swing and club behavior analysis was performed using a computer model comprised of a 3D parametric flexible model of a golf club driven with data from a recorded golf swing, and an impact function. The impact results were verified experimentally. The analysis without impact determined that alteri

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20

Austin, Stanley, and Laurence Miller. "An Empirical Study of the Sybervision Golf Videotape." Perceptual and Motor Skills 74, no. 3 (1992): 875–81. http://dx.doi.org/10.2466/pms.1992.74.3.875.

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A number of studies have shown observational learning to be a powerful tool to facilitate acquisition of various athletic skills. The present study examined the efficacy of the commercially produced SyberVision golf videotape as a teaching aid to facilitate acquisition of the proper golf swing. One group of 10 introductory golf students saw the SyberVision tape. A control group of 10 reported on a golf-instruction book. Two raters judged their golf swings during pre- and posttests. A single blind procedure was used to prevent biased judging. Analysis showed a significant improvement with pract

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21

NISHIZAWA, Shinichi, Shinya KUROKI, George OKUYAMA, Kojiro WATANABE, Takeshi NARUO, and Fuminobu SATO. "Driver Swing and Golf Skill." Journal of Japan Society of Sports Industry 8, no. 1 (1998): 49–60. http://dx.doi.org/10.5997/sposun.8.49.

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22

HOKARI, Masaki, and Kajiro WATANABE. "Driver Swing and Golf Skill." Journal of Japan Society of Sports Industry 9, no. 2 (1999): 35–45. http://dx.doi.org/10.5997/sposun.9.2_35.

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23

INOUE, Yoshio, Tao LIU, Kyoko SHIBATA, and Motoyasu SONOBE. "Dynamic Analysis of Golf Swing." Proceedings of the Symposium on sports and human dynamics 2016 (2016): A—32. http://dx.doi.org/10.1299/jsmeshd.2016.a-32.

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24

MATSUMOTO, Norio, Tatsuro OHASHI, and Kenji HOSOKAWA. "Validity of Golf Swing Simulation." Proceedings of the Dynamics & Design Conference 2016 (2016): 152. http://dx.doi.org/10.1299/jsmedmc.2016.152.

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25

Sanders, Ross H., and Peter C. Owens. "Hub Movement during the Swing of Elite and Novice Golfers." International Journal of Sport Biomechanics 8, no. 4 (1992): 320–30. http://dx.doi.org/10.1123/ijsb.8.4.320.

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Many golf coaches refer to a focal point or “hub” of a golf swing and encourage players to imagine the clubhead rotating about this point. The purpose of this study was to locate the hub of the swings of elite (handicaps 0–5) and novice golfers. Six novice and six elite players (all male) each performed 10 swings with the 3-wood provided. Motions of reflective markers attached to the vertex and chin of the subject and three points along the shaft of the club were recorded on videotape. The position of the hub at sampled instants during the swing was defined by the intersection of normals to th

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26

Lindsay, David M., John F. Horton, and Robert D. Paley. "Trunk Motion of Male Professional Golfers Using Two Different Golf Clubs." Journal of Applied Biomechanics 18, no. 4 (2002): 366–73. http://dx.doi.org/10.1123/jab.18.4.366.

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Low back problems account for the largest proportion of injuries among amateur and professional golfers. However, there is little data on how the trunk or spine moves during a golf swing. Also, it may be that different golf clubs produce different trunk motion characteristics. The purpose of this study was to compare trunk range of motion (ROM) and velocity in three movement planes during the execution of a full golf swing using a driver and a 7-iron. Forty-four members of the Alberta Professional Golf Association volunteered to participate in this study. Trunk ROM and velocities in the sagitt

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27

Jiao, Libin, Rongfang Bie, Hao Wu, et al. "Golf swing classification with multiple deep convolutional neural networks." International Journal of Distributed Sensor Networks 14, no. 10 (2018): 155014771880218. http://dx.doi.org/10.1177/1550147718802186.

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The use of smart sports equipment and body sensory systems supervising daily sports training is gradually emerging in professional and amateur sports; however, the problem of processing large amounts of data from sensors used in sport and discovering constructive knowledge is a novel topic and the focus of our research. In this article, we investigate golf swing data classification methods based on varieties of representative convolutional neural networks (deep convolutional neural networks) which are fed with swing data from embedded multi-sensors, to group the multi-channel golf swing data l

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28

Speariett, Sophie, and Ross Armstrong. "The Relationship Between the Golf-Specific Movement Screen and Golf Performance." Journal of Sport Rehabilitation 29, no. 4 (2020): 425–35. http://dx.doi.org/10.1123/jsr.2018-0441.

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Context:Golf requires effective movement patterns to produce an effective swing and performance.Objective:To determine the relationship between the Titleist Performance Institute golf-specific functional movement screening (GSFMS) composite and individual element scores and golf performance by assessing a player’s handicap, clubhead speed, side accuracy, ball speed, peak pelvis rotation speed, swing sequence, and common swing faults.Design:Cohort study, clinical measurement.Setting:English golf club.Participants:A total of 11 amateur golfers: 5 males (age: 37.2 [18.7] y, height: 184.4 [9.6] cm

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29

Wang, Meng, and Tong Zang. "Research on Intelligent Sports Training System for Golf Based on Body Sense Recognition." Computational Intelligence and Neuroscience 2022 (May 29, 2022): 1–7. http://dx.doi.org/10.1155/2022/8168396.

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In recent years, significant advances in the development of computer vision technology have produced many platforms and systems that combine computer technology and sports-assisted training, including intelligent systems that are integrated with golf training and instruction. However, the existing intelligent systems for golf-assisted teaching usually use three-dimensional depth information, which will significantly increase the cost of intelligent systems. In this paper, the extraction of golf club slope is carried out on the basis of golf sport video capture using a common monocular camera i

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30

Wibowo, Bagus, Edi Sofyan, and Gembong Baskoro. "PROTOTYPE DESIGN OF SPEED DETECTION MOBILE APPLICATION FOR GOLFER’S SWING MOVEMENT USING COMPUTER VISION COMPARED TO PORTABLE RADAR AND ACCELEROMETER SYSTEMS." Proceedings of The Conference on Management and Engineering in Industry 1, no. 1 (2019): 49–52. http://dx.doi.org/10.33555/cmei.v1i1.7.

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Prototype Design of Golf Swing Speed Detection Mobile Application (GSSDMA)/Swing Vision (SV) has been researched and developed on this thesis with computer vision technique. Frames detection method has been implemented to performed calculation of the swing speed by manually identification of the frames from start of down swing to impact of the ball with Matlab Video Viewer as initial reference calculation, when head of golf club start to move to downswing as frame-zero/fr0 and frame-n/frn as end of the frame after the head of golf club impact to the ball and then the total frames can be determ

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31

Hara, Daisuke, Yasuharu Nakashima, Satoshi Hamai, et al. "Dynamic Hip Kinematics During the Golf Swing After Total Hip Arthroplasty." American Journal of Sports Medicine 44, no. 7 (2016): 1801–9. http://dx.doi.org/10.1177/0363546516637179.

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Background: Although most surgeons allow their patients to play golf after total hip arthroplasty (THA), the effect on the implant during the golf swing is still unclear. Purpose: To evaluate hip kinematics during the golf swing after THA. Study Design: Descriptive laboratory study. Methods: Eleven hips in 9 patients who underwent primary THA were analyzed. All patients were right-handed recreational golfers, and these 11 hips included 6 right hips and 5 left hips. Periodic radiographic images of the golf swing were taken using a flat-panel x-ray detector. Movements of the hip joint and compon

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32

Navarro, Enrique, José M. Mancebo, Sima Farazi, Malena del Olmo, and David Luengo. "Foot Insole Pressure Distribution during the Golf Swing in Professionals and Amateur Players." Applied Sciences 12, no. 1 (2021): 358. http://dx.doi.org/10.3390/app12010358.

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There are numerous articles that study the ground reaction forces during the golf swing, among which only a few analyze the pressure pattern distributed on the entire surface of the foot. The current study compares the pressure patterns on the foot insoles of fifty-five golfers, from three different performance levels, playing swings with driver and 5-iron clubs in the driving range. Five swings were selected for each club. During each swing, ultra-thin insole sensors (4 sensors/cm2) measure foot pressure at the frequency of 100 Hz. To perform statistical analysis, insole sensors are clustered

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33

Goebel, Dietmar, Frank Drollinger, and Andrea Drollinger. "Lumbar Spine Injuries: Primary Prevention in Amateur and Professional Golf Players." Sports Medicine International Open 02, no. 06 (2018): E179—E184. http://dx.doi.org/10.1055/a-0748-5443.

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AbstractIn the sport of golf, there is no standard teaching method or swing technique even though golf is known for overuse injuries. This prospective study was to analyze classic swing kinematics in comparison with the Free-Release® method and to define a physiological golf swing. Two hundred eighty-three players, age 50–59 years, were included in the study. For both swing techniques, examination addressed swing visualization, center of pressure (COP), center of mass (COM), as well as pelvic movement in relationship to different standing widths. The position of the spine was evaluated in the

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34

Gatt, Charles J., Michael J. Pavol, Richard D. Parker, and Mark D. Grabiner. "Three-Dimensional Knee Joint Kinetics During a Golf Swing." American Journal of Sports Medicine 26, no. 2 (1998): 285–94. http://dx.doi.org/10.1177/03635465980260022101.

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This study characterized knee joint kinetics during a golf swing and determined the influence of shoe type and golfer skill on the peak knee joint loads. Thirteen golfers each hit a golf ball using a five iron under two footware conditions: spiked and spikeless golf shoes. Data from a video-based motion capture system and force plates were used to compute the knee joint kinetics. Mean peak forces and moments differed significantly between the lead and trail knees, but these peak loads were not significantly affected by shoe type. Only the lead knee flexion and internal rotation moments were si

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Clarke, Jenni. "Take a swing." Early Years Educator 21, no. 7 (2019): S4—S5. http://dx.doi.org/10.12968/eyed.2019.21.7.s4.

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Hitting a ball with a stick is fun. Add in a target and it becomes a challenge. Use the correct terminology and it becomes a new hobby. Let children experiment with golf equipment and develop their own swing style, says Jenni Clarke.

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Li, Bairan, Junsig Wang, Chaojie Wu, et al. "Effects of Ground Slopes on Erector Spinae Muscle Activities and Characteristics of Golf Swing." International Journal of Environmental Research and Public Health 20, no. 2 (2023): 1176. http://dx.doi.org/10.3390/ijerph20021176.

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(1) Background: ‘Slope’ refers to the position faced by golfers on the course. Research on the recruitment strategies of thoracolumbar erector spinae during golf swings on different slopes may help us to understand some underlying mechanisms of lower back pain. (2) Purpose: The purpose of the present study is to assess electromyography (EMG) patterns of the erector spinae muscles (ES) and the kinematics of the trunk and swing parameters while performing golf swings on three different ground slopes: (1) no slope where the ball is level with the feet (BLF), (2) a slope where the ball is above th

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37

Román Alconchel, B., M. T. Miranda León, and J. C. Fernández García. "EFECTOS DEL APRENDIZAJE MOTOR IMPLÍCITO Y EXPLÍCITO DEL GOLF EN ESCOLARES." Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte 21, no. 83 (2021): 573–89. http://dx.doi.org/10.15366/rimcafd2021.83.010.

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El objetivo de este estudio es investigar mediante una aproximación ecológica, si los métodos de aprendizaje motor implícitos permiten un mejor aprendizaje del swing completo y del swing medio (chipeo) de golf en la iniciación deportiva respecto a los tradicionales métodos de aprendizaje motor explícitos. Han participado 56 estudiantes (M=13.6±1.05 años) de segundo curso de enseñanza secundaria (ESO), sin ninguna experiencia previa en este deporte. Se han tomado tres mediciones: a) antes de la intervención didáctica, b) el pre-test de rendimiento motor en el centro escolar y c) el post-test de

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Maruyama, Tomoari, Chunquan Xu, Aiguo Ming, and Makoto Shimojo. "Motion Control of Ultra-High-Speed Manipulator with a Flexible Link Based on Dynamically Coupled Driving." Journal of Robotics and Mechatronics 18, no. 5 (2006): 598–607. http://dx.doi.org/10.20965/jrm.2006.p0598.

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We have developed a golf robot whose swing simulates human motion. The design concept is to realize ultra-high-speed dynamic manipulation using a dexterous mechanism. The robot consists of a shoulder joint with a high-power direct-drive motor and a wrist joint with a low-power direct-drive motor. High-speed golf swings are realized by a sort of motion control, called dynamically-coupled driving which compensates for the lack of drive in the wrist joint. In this paper a new model accounting for golf club flexibility with all parameters identified in experiments was developed. Based on this, we

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39

Park, Junwook, and Sooyeong Kwak. "Golf Swing Classification Using Fuzzy System." Journal of Broadcast Engineering 18, no. 3 (2013): 380–92. http://dx.doi.org/10.5909/jbe.2013.18.3.380.

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40

Jones, Frederick E., and Wilfred L. Vasel. "GOLF SWING TRAINING DEVICE AND METHOD." Journal of the Acoustical Society of America 132, no. 4 (2012): 2775. http://dx.doi.org/10.1121/1.4757805.

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41

Kraft, Robert E. "Myths of Teaching the Golf Swing." Strategies 1, no. 2 (1987): 18–22. http://dx.doi.org/10.1080/08924562.1987.10591594.

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HIROE, Ayato, Yoshio INOUE, Kyoko SHIBATA, and Shunta Kodama. "716 Diagnostic System of Golf Swing." Proceedings of Conference of Chugoku-Shikoku Branch 2015.53 (2015): _716–1_—_716–3_. http://dx.doi.org/10.1299/jsmecs.2015.53._716-1_.

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Jenkins, Simon. "Golf Coaching and Swing Plane Theories." International Journal of Sports Science & Coaching 2, no. 1_suppl (2007): 1–24. http://dx.doi.org/10.1260/174795407789705541.

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Langdown, Ben L., Matt Bridge, and Francois-Xavier Li. "Movement variability in the golf swing." Sports Biomechanics 11, no. 2 (2012): 273–87. http://dx.doi.org/10.1080/14763141.2011.650187.

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Neal, R. J., and E. J. Springings. "Optimal golf swing kinetics and kinematics." Journal of Science and Medicine in Sport 2, no. 4 (1999): 416–17. http://dx.doi.org/10.1016/s1440-2440(99)80027-9.

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Moran, K., T. McGrath, B. Marshall, and E. Wallace. "Dynamic Stretching and Golf Swing Performance." International Journal of Sports Medicine 30, no. 02 (2009): 113–18. http://dx.doi.org/10.1055/s-0028-1103303.

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Glazier, Paul. "Movement Variability in the Golf Swing." Research Quarterly for Exercise and Sport 82, no. 2 (2011): 157–61. http://dx.doi.org/10.1080/02701367.2011.10599742.

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Miura, Koryo. "A31 Parametric Acceleration in Golf Swing." Proceedings of Joint Symposium: Symposium on Sports Engineering, Symposium on Human Dynamics 2006 (2006): 160–63. http://dx.doi.org/10.1299/jsmesports.2006.0_160.

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Kim, Wangdo, Antonio Veloso, Maria Machado, et al. "DYNAMIC TOUCH OF EFFECTIVE GOLF SWING." Journal of Biomechanics 45 (July 2012): S621. http://dx.doi.org/10.1016/s0021-9290(12)70622-x.

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