Autor: FA-SHIAN CHANG GUAN-QUN LU SHANG-YOU XIE GUO-ZHAO HONG YOU-WEI SU
Company: Cheng Shiu University
The present invention is a human parameter analysis and measurement integration system, which assists instructors in mastering the analysis of human factors engineering parameters and motion physiology sensing analysis, and provides reliable basis for precise sports training. In vocational education, many practical courses require adjustments and guidance based on each individual’s body structure (height, weight, posture, and inertia). This system changes the traditional one-way teaching method by using real-time artificial intelligence algorithms, physiological sensing and emotional observation to understand the students’ cognitive status of the teaching procedures, progress, and content, as well as their learning status feedback.
The system can be combined with coach’s physical demonstrations, and important posture structures and operation procedures can be captured through image capture to form demonstration postures, which are projected onto the students’ learning screens. Students can imitate the demonstrated postures and perform corrections according to the instructor’s instructions. The system will record the students’ actual operation status and hand movements, and provide real-time guidance and learning guidance through the system. The physiological sensing module will detect the students’ physiological sensing data and physical condition in real-time during operation. The relevant data will be analyzed by big data and artificial intelligence algorithm platforms to obtain teaching effectiveness and student learning status. This system effectively improves the efficiency of vocational education practical courses and provides excellent teaching benefits for precision technology training and remote teaching.