TY - GEN
T1 - Motion Control of Training Robot with Enhanced Defecation Control Ability Based on Active and Passive
AU - Han, Jiayin
AU - Chen, Diansheng
AU - Wang, Yinghan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - With the significant increase of social aging trend, the defecation and control ability of the elderly has become an important issue in the field of elderly rehabilitation. This paper designs a training robot system based on active and passive defecation ability enhancement, which aims to deal with the problem of defecation ability obstacle of the elderly. The system includes upper computer, lower computer, sensor and robot execution unit. The patient's motion information is obtained through the perception system to achieve active and passive motion training control. The sports training module includes sit ups, hip joint movement. The position based control strategy is adopted to achieve stable passive motion through PID controller and predefined trajectory. In the aspect of assist training control, motion trend recognition and fuzzy PID algorithm are introduced to achieve safe and effective assist rehabilitation. Through experiments to verify the effectiveness of the system, it provides a comprehensive and flexible rehabilitation training solution for the elderly to enhance their defecation control ability.
AB - With the significant increase of social aging trend, the defecation and control ability of the elderly has become an important issue in the field of elderly rehabilitation. This paper designs a training robot system based on active and passive defecation ability enhancement, which aims to deal with the problem of defecation ability obstacle of the elderly. The system includes upper computer, lower computer, sensor and robot execution unit. The patient's motion information is obtained through the perception system to achieve active and passive motion training control. The sports training module includes sit ups, hip joint movement. The position based control strategy is adopted to achieve stable passive motion through PID controller and predefined trajectory. In the aspect of assist training control, motion trend recognition and fuzzy PID algorithm are introduced to achieve safe and effective assist rehabilitation. Through experiments to verify the effectiveness of the system, it provides a comprehensive and flexible rehabilitation training solution for the elderly to enhance their defecation control ability.
KW - active and passive training
KW - motion control
KW - rehabilitation robot
KW - trend identification
UR - https://www.scopus.com/pages/publications/85205306363
U2 - 10.1109/RCAR61438.2024.10670725
DO - 10.1109/RCAR61438.2024.10670725
M3 - 会议稿件
AN - SCOPUS:85205306363
T3 - 2024 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2024
SP - 449
EP - 454
BT - 2024 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2024
Y2 - 24 June 2024 through 28 June 2024
ER -