Knowledge of the kinematic differences that separate highly skilled and less-skilled squash players could assist the progression of talent development. This study compared trunk, upper-limb and racket kinematics between two groups of nine highly skilled and less-skilled male athletes for forehand drive, volley and drop strokes. A 15-camera motion analysis system recorded three-dimensional trajectories, with five shots analysed per participant per stroke. The highly skilled group had significantly ( < 0.05) larger forearm pronation/supination range-of-motion and wrist extension angles at impact than the less-skilled. The less-skilled group had a significantly more "open" racket face and slower racket velocities at impact than the highly skilled. Rates of shoulder internal rotation, forearm pronation, elbow extension and wrist flexion at impact were greater in the drive stroke than in the other strokes. The position of the racket at impact in the volley was significantly more anterior to the shoulder than in the other strokes, with a smaller trunk rotation angular velocity. Players used less shoulder internal/external rotation, forearm pronation/supination, elbow and wrist flexion/extension ranges-of-motions and angular velocities at impact in the drop stroke than in the other strokes. These findings provide useful insights into the technical differences that separate highly skilled from less-skilled players and provide a kinematic distinction between stroke types.
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http://dx.doi.org/10.1080/02640414.2020.1747828 | DOI Listing |
J Neuroeng Rehabil
January 2025
Department of Mechanical and Aerospace Engineering, University of Florida, PO Box 116250, Gainesville, FL, 32611, USA.
Background: Motor module (a.k.a.
View Article and Find Full Text PDFJ Orthop Surg Res
January 2025
1Department of Special Education and Rehabilitation, Binzhou Medical University, Yantai City, Shandong Province, China.
Objective: This study examines whether cross-education training of the healthy limb promotes cross-transfer through central nervous system stimulation, enhancing the function, kinematic parameters, dynamic balance, and plantar pressure of the affected knee joint in patients recovering from postoperative anterior cruciate ligament reconstruction (ACLR).
Methods: Forty anterior cruciate ligament reconstruction (ACLR) patients, 5-6 weeks postoperatively, were included and randomly assigned to either an experimental group (n = 20) or a control group (n = 20). The experimental group participated in six weeks of cross-education (CE) training in addition to conventional rehabilitation, while the control group received only conventional rehabilitation.
J Biomech
January 2025
Department of Kinesiology, McMaster University, Hamilton, ON, Canada. Electronic address:
Recording and quantifying hand and finger movement is essential for understanding the neuromechanical control of the hand. Typically, kinematics are collected through marker-based optoelectronic motion capture systems. However, marker-based systems are time-consuming to setup, expensive, and cumbersome, especially for finger tracking.
View Article and Find Full Text PDFJ Biomech
January 2025
Department of Kinesiology, University of Massachusetts Amherst, Amherst, MA, United States; School of Kinesiology, University of Michigan, Ann Arbor, MI, United States.
Humans typically choose to walk at a self-selected stride frequency that minimizes their metabolic cost. However, when environmental constraints are present (e.g.
View Article and Find Full Text PDFJ Biomech
January 2025
School of Sport Science, Beijing Sport University, Beijing, China; Key Laboratory of Exercise Rehabilitation Science of the Ministry of Education, Beijing Sport University, Beijing, China. Electronic address:
Artificial neural networks (ANNs) offers potential for obtaining kinetics in non-laboratory. This study compared the estimation performance for ground reaction forces (GRF) and lower-limb joint moments during sidestepping between ANNs fed with full-body and lower-body landmarks. 71 male college soccer athletes executed sidestepping while three-dimensional kinematics and kinetics were collected to calculate joint moments by inverse dynamic.
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