Vision Based Assistive Judging and Posture Monitoring System for Weightlifting Sport

The development of the posture monitoring system to assist in weight-lifting sport is to aid and assist athletes and judges in accurately monitoring the athlete's posture while doing the Clean and Jerk movement while minimizing the safety issues when weightlifting movements are conducted. The proposed system integrates wearable sensors to capture real-time data on the athlete's body positioning and movement during the Clean and Jerk. The system provides immediate feedback by using a computer vision system for the weightlifter, highlighting areas of improvement and offering corrective suggestions to enhance technique. These data are then processed using advanced algorithms to assess posture correctness and identify deviations from optimal form. By offering personalized insights, the posture monitoring system aims to contribute to the refinement of lifting form, reducing the risk of injuries, and optimizing overall performance in weightlifting, particularly during the Clean and Jerk exercise. Based on experimental results and real test implementation, this device contributes to the weight-lifting sport by improving technical error and human error during competition and training.