Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : May 27, 2020 - May 30, 2020
This study aimed to keep the motivation of users and achieve better effectiveness of assistance for rehabilitation and exercise. When these assistive devices are used to assist elderly people, they are prone to negative emotion and muscle fatigue. Thus, we proposed a walking assistive device that considered emotion and body condition. In our research, the deep neural network was used to develop two-dimensional emotion recognition (pleasure and arousal) by analyzing the users’ brain waves and heartbeats. Near-infrared spectroscopy (NIRS) was used to detect the users’ muscle fatigue by calculating the hemoglobin concentrations. As a result, the walking condition can be adjusted by the walking assistive device to maintain users’ positive emotion and nice body condition. On the contrary, the users’ current emotion and body condition can be promoted when the parameters of the assistant device are adjusted.
