Clustering of Postures for the Evaluations of Gymnastic Exercises by Smart Devices
Kunikazu Hamada, Takenori Obo, Naoyuki Kubota · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2024
As the increase in the number of elderly people in Japan, we have to develop various types of smart device applications for self-care to health promotion. Basically, it is difficult for elderly people to continue daily exercises if the elderly people don’t know the effect of daily exercises. Therefore, we should develop the evaluation method of daily exercise. In this paper, we propose a clustering method based on growing neural gas to evaluate gymnastic exercises by smart devices.