Abstract
Muscle fatigue brings bad influence in everyday life. To prevent it from progressing, it is important that we control action by degree of muscle fatigue. So, goal of our study is to develop muscle fatigue quantification system that we can use it anywhere, accurately and easily. We develop following three things against previous study of muscle fatigue quantification. 1. To analyze degree of muscle fatigue anywhere, we use surface electromyogram as analyzing device. 2. To decrease subject's burden, we develop method that estimate characteristic of muscle fatigue by a few muscle contraction. 3. To decrease influence of data error, we add variable of stimulus target value. We performed comparison of value of muscle fatigue between experiment and simulation. In the simulation, degree of muscle fatigue is calculated by motor command level (Stimulus Target). We asked subject equal motor command level with simulation. But, calculated motor command level isn't very match with simulation. So, it is difficult to compare accurate precision between experiment and simulation. But, experiment result showed tendency of fatigue, and taking difference of motor command level into consideration, precision of quantification of muscle fatigue is almost good. We will aim at more accurate quantification of muscle fatigue and validation method of muscle fatigue model in the future.
