![]() It could help elderlies maintain higher levels of motivation and prevent muscle damage by walking exercise, using the walking assistive device. These results showed the effectiveness of the proposed system. It was verified that the walking strategy can improve the mental condition of a user to a certain extent. In addition, we succeeded in visualizing the distribution of emotion during each walking method variation. The wearing of the walking assistive device and implementation of the walking strategy can delay the fatigue time by approximately 24% and increase the walking distance by approximately 16%. Finally, we tested the effectiveness of the automatic control system. Then, we proposed a walking strategy based on a 3D human condition model to control the walking assistive device. This implies that it can be used for outdoor activities. For fatigue detection, we proposed a method based on near-infrared spectroscopy (NIRS) to detect muscle fatigue. With regard to the arousal and pleasure dimensions, we used heartbeat and electromyography (EEG) signals to train a deep neural network (DNN) model to identify human emotions. It includes the arousal, pleasure, and fatigue dimensions. We proposed a 3D human condition model to control the walking assistive device. This study proposed a method to enable elderly individuals to exercise with a positive emotion and prevent damage such as muscle fatigue. ![]() However, elderly individuals may have low motivation for exercising, or they may experience physical damage by excessive fatigue. Therefore, several walking assistive devices have been developed or are under development. Adequate exercise is becoming necessary for them. The number of elderly individuals having walking impairments is also increasing. The world’s aging population is increasing. ![]()
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