Method and system of predicting risk of falling down and dementia through gait information of the aged

摘要

A method and system for predicting the risk of falls and dementia through walking information of the elderly are provided. A method for predicting a risk of falls and dementia through walking information of an elderly person according to the present invention comprises the steps of: a fall and dementia big data database storing fall and dementia big data constructed by analyzing data on a fall accident and dementia patient; Collecting, by a body information collection unit mounted on a wearable device worn by the elderly, collecting body information including a stride length and a moving speed of the elderly; A fall and dementia prediction server, receiving the fall and dementia big data and the body information through a network, and determining the likelihood of a fall of the elderly based on the received fall and dementia big data and body information; Determining, by the fall and dementia prediction server, a possibility of onset of dementia corresponding to the determined fall probability, based on the fall and dementia big data; And displaying the determined likelihood of falling and the likelihood of developing dementia. The likelihood of a fall, which can cause a more fatal fall accident to the elderly, is quantified by referring to a big data database built using big data, and the quantified data is shared with family and guardians in advance so that they can take action in real time. It is possible.