Gait diagnosis for elderly people to prevent fall and development of training assist tool using augmented reality

Recently, the population ratio of elderly people in Japan is increasing rapidly. In order to improve and maintain the quality of life of the elderly people, preventing `fall' is very important social issue. In our research, we proposed a gait measurement and diagnosis system which can automatically analyze and clarify the gait condition of each elderly by using measured feature values. And we proposed a training assist tool using the augmented reality for better gait training. From the experimental results, it turned out that the person with the relatively high risk of fall has a low balancing ability. Therefore, in order to prevent elderly people's fall, it is necessary to grasp their own gait condition properly and to maintain and improve balancing ability by the appropriate training or exercise.