TY - GEN
T1 - Three Dimensional Human Condition Model during Walking Based on Emotion Estimation and Muscle Fatigue Evaluation
AU - Tanaka, Eiichiro
AU - Gong, Yu Kai
AU - Li, Yun Fan
AU - Yang, Jun Yan
AU - Zhuang, Jyun Rong
AU - Osawa, Keisuke
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by JSPS Numbers 19H04505 and 22H03997.
Publisher Copyright:
© 2022 TSI Enterprises.
PY - 2022
Y1 - 2022
N2 - We have developed walking assistance system considering the condition of the emotion and fatigue. This system consists of the emotion estimation, the fatigue evaluation, decision function of the walking condition, and walking assistive device. We already made the emotion estimation system, and obtained the method of muscle fatigue evaluation by NIRS, and the walking assistive device. To complete the decision function, it is necessary to recognize the current condition of the user's emotion and fatigue. In this paper, we proposed the three dimensional human condition model to decide the suitable walking setting. Finally, the example of using this model and the importance of the recognition both emotion and fatigue were shown.
AB - We have developed walking assistance system considering the condition of the emotion and fatigue. This system consists of the emotion estimation, the fatigue evaluation, decision function of the walking condition, and walking assistive device. We already made the emotion estimation system, and obtained the method of muscle fatigue evaluation by NIRS, and the walking assistive device. To complete the decision function, it is necessary to recognize the current condition of the user's emotion and fatigue. In this paper, we proposed the three dimensional human condition model to decide the suitable walking setting. Finally, the example of using this model and the importance of the recognition both emotion and fatigue were shown.
KW - emotion estimation
KW - fatigue evaluation
KW - human condition model
KW - walking assistance
UR - http://www.scopus.com/inward/record.url?scp=85142786615&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85142786615&partnerID=8YFLogxK
U2 - 10.23919/WAC55640.2022.9934297
DO - 10.23919/WAC55640.2022.9934297
M3 - Conference contribution
AN - SCOPUS:85142786615
T3 - World Automation Congress Proceedings
SP - 633
EP - 637
BT - 2022 World Automation Congress, WAC 2022
PB - IEEE Computer Society
T2 - 2022 World Automation Congress, WAC 2022
Y2 - 11 October 2022 through 15 October 2022
ER -