Abstract
A frailty discovery method based on daily monitoring data obtained from MIMAMORI sensors is propoed. The motion detection sensors were installed to the ceiling of rooms or corridor of elderly’s home. Comparing the sensed daily-life data with the cognitive and motor functions taken at each regular hospital visit, indices which may relate to the frailty prevention were examined. Mini Mental State Examination（MMSE）and One-Leg Standing Duration with Vision Test showed correlation with the activity level calculated from the sensor data. The results suggest that the activity level at home may be a predictor of frailty especially about cognitive function and balance motor function of the elderly.
