Human Intention Extracted from Electromyography Signals for Tracking Motion of Meal Assistance Robot
The objective of the present study is to determine if surface electromyography (EMG) signals can be used for controlling the motion of the meal assistance robot. The power of four EMG channels were calculated and encoded into five commands to track the motion of meal assistance robot. The results indicated that by using EMG signals, the meal assistance robot was able to follow the movement desire of the subjects and help them to eat. This study has shown the possibility of extracting the features of EMG signals that reflect the subjects intent as control signals.
X. Zhang B. Wang X.Y. Wang T. Sugi M. Nakamura
Department of Automation, East China University of Science and Technology, Shanghai 200237, P. R. Ch Department of Electrical and Electronic Engineering, Saga University Department of Advanced Systems Control Engineering, Saga University, Saga 840-8502, Japan
国际会议
北京
英文
1409-1412
2007-05-23(万方平台首次上网日期,不代表论文的发表时间)