Examination of posture evaluation method using machine learning for lower limb muscle strength training
Kyohei Matsunami, Ken'ichi Koyanagi, Takumi Tamamoto, Kentaro Noda, Takuya Tsukagoshi, Toru Oshima · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2020
Rehabilitation and training must be performed in an appropriate posture, and if performed in an inappropriate posture, the target muscle may not be effectively stimulated. Furthermore, depending on the posture, there is a risk of applying unnecessary load to specific muscles and tendons. Thus, it is known that effective stimulation of the target muscle depends not only on the control of the training support system but also on the posture during training. The purpose of this study is to measure trainees and evaluate their posture so that they can perform effective training with proper posture during lower limb muscle strength training. In addition, it is necessary to evaluate the posture automatically because a skilled person does not always accompany the training.