Prediction of martial arts impact effect and training effect evaluation based on biomechanical model
Abstract
Martial arts training involves high-impact motions, which can have both beneficial and negative consequences. Understanding these consequences via a biomechanical perspective is critical for improving performance and reducing injury risk. The purpose is to use a biomechanical model to predict impact effects and evaluate martial arts training outcomes. It involved two separate groups of martial artists to evaluate the impact and training effects at different skill levels. The professional martial artists group had at least 5 years of martial arts training experience, and the beginner group had less than 1 year of experience. The data-collecting procedure involved recording motion and force data during martial arts training sessions. A set of standard martial arts movements (punching, kicking, blocking, striking, grappling, and elbow strike) was chosen for this investigation. A biomechanical model was constructed by recording motion and force data utilizing motion capture systems and force sensors. The sensor data were linked to the biomechanical simulation program, such as OpenSim. To predict impact forces and training effects, variables such as joint angles, muscle forces, impact forces, and movement efficiency were examined using descriptive statistics, ANOVA, and regression analysis. A statistical analysis using SPSS 25 indicated significant variations in impact forces between professional and beginner martial artists. Professional practitioners displayed more efficient biomechanics, which reduced joint stress and injury risk. The combination of a biomechanical model and SPSS-based statistical analysis yielded an effective instrument for assessing impact effects and training outcomes in martial arts. The findings provide useful suggestions for improving training programs and injury prevention techniques. It contributed to a better knowledge of movement efficiency and injury prevention techniques.
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