Abstract
Recently, falling accidents become serious problem by population ageing in Japan. 40 percent of elderly parsons who was taken to hospital are limited daily life by hospitalization. “Foot trajectory” is a most common case of falling accident. The reason is that elderly persons can't recognize height of the foot in walking. For this reason, having them recognize height of the foot is valid for fall prevention. Besides, raising high the foot can prevent muscle weakness. In this study, we discuss a method of detecting height of the foot by acceleration sensors of smartphone. In addition, we place a smartphone around the wrist as useful body site. We experiment whether time waveform of acceleration can distinguish three walking patterns. (Three walking patterns are “Natural”, “High step”, “Long step”.) The result showed that the time waveform can distinguish three walking patterns by amplitude and instantaneous value of “foot flat”.
