MF133 歩行器使用時の転倒予測に関する研究(MF13 高齢者の転倒,あたり前のことを知る)

概要

論文の詳細を見る
In the study, we propose a risk prediction method which combines a motion prediction method based on a human physical model with a motion inference one that originates in the probability theory for a human falling prediction purpose when an elderly person is using a walking aid. We confirm the effectiveness of the proposed method by experiments using a sensor system attached to a subject. The target is limited to human falling in case he is using a walking aid. The method determines whether he is in the state of safety or danger by use of Hidden Markov Models with his position, velocity, and direction of C.O.G data introduced. Moreover, we developed a small, light-weight, and wireless sensor system attached to the subject, and confirmed the possibility of predicting a subject's fall through our overall proposal.
社団法人日本機械学会の論文
2007-09-30