Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 01, 2022 - June 04, 2022
Walking is one of the most important physical activities. Many people suffer from gait disorders due to injuries or neurological diseases such as stroke. Therefore, the necessity of gait analysis has increased. In previous studies, electromyography was used to analyze gait. The muscle synergy hypothesis has been used as a method to reduce the dimensionality of information-rich electromyography. Gait analysis has been conducted by treating spatial information as synergy. However, in repetitive motions such as walking, temporal information is also considered to be linked. In this study, we analyzed walking on a treadmill at different speeds and loads by using Time-Varying Synergy, which treats spatiotemporal information as synergies. We discussed the differences in locomotion with different conditions by comparing the parameters.
