Method for Providing Exercise Instruction That Allows Immediate Feedback to Trainees

Abstract

Method for providing exercise instruction that allows immediate feedback to trainees is proposed. The purpose of this research is to combine artificial intelligence technology and motion analysis methods to build an effective vocational training support program aimed at supporting the employment of children with disabilities. Specifically, we develop a system that uses DTW (Dynamic Time Warping) to calculate the similarity between the trainee's motion and the model motion, and scores the results based on the results. This system will enable optimal instruction for each disabled child, and is expected to improve motion skills and promote learning motivation. Furthermore, by providing scored feedback, we aim to improve the traditional evaluation that relies on the subjectivity of the instructor and provide an intuitive and easy-to-understand means of confirming results for trainees. In this research, we use skeletal detection technology to record the trainee's three-dimensional coordinate data and perform quantitative evaluation. In addition, we will design a program that allows trainees to visually check their own progress through a motion evaluation function and maximize the learning effect. Through experiment, it is found that the proposed method does work for motion trainings at supporting the employment of children with disabilities. Also, it is found that immediate feedback is better than conventional delayed feedback.