Abstract
Domestic accidents such as a fall have increased with aging. To detect the accident, the monitoring system that discriminates their motion of daily life has been required. Though EMG is generally used as a physiological index of discrimination, it has problems such as noise from life environment and worrying about affixing the electrode. Therefore, we proposed to use the muscle shape change of leg with motion. Amount of muscular deformation is measured by using strain-gauge-band wound around cruris of legs. As a result, walking, going up/down stairs, standing/sitting, turning were able to be distinguished. And, we proved that the physical change of muscle is effective index.
