TY - GEN
T1 - A study on EMG-based human motion prediction for power assist exoskeletons
AU - Kiguchi, Kazuo
PY - 2007
Y1 - 2007
N2 - A power-assist exoskeleton robot, which is directly attached to the user's body and assist the motion in accordance with the user's intension, is one of the most effective human assist robots for the physically weak persons. Many studies on power-assist robots have been carried out to help the motion of physically weak persons such as disabled, injured, and/or elderly persons. EMG-based control (i.e., control based on the skin surface electromyogram (EMG) signals of the user) is one of the most effective control methods for the power-assist robots, since EMG signals of user's muscles directly reflect the user's motion intension. However, the EMG-based control is not easy to be realized because of many reasons. The paper presents an effective human motion prediction method from the EMG signals using a neuro-fuzzy technique for the control of power-assist exoskeleton robots.
AB - A power-assist exoskeleton robot, which is directly attached to the user's body and assist the motion in accordance with the user's intension, is one of the most effective human assist robots for the physically weak persons. Many studies on power-assist robots have been carried out to help the motion of physically weak persons such as disabled, injured, and/or elderly persons. EMG-based control (i.e., control based on the skin surface electromyogram (EMG) signals of the user) is one of the most effective control methods for the power-assist robots, since EMG signals of user's muscles directly reflect the user's motion intension. However, the EMG-based control is not easy to be realized because of many reasons. The paper presents an effective human motion prediction method from the EMG signals using a neuro-fuzzy technique for the control of power-assist exoskeleton robots.
UR - http://www.scopus.com/inward/record.url?scp=34948860626&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34948860626&partnerID=8YFLogxK
U2 - 10.1109/CIRA.2007.382917
DO - 10.1109/CIRA.2007.382917
M3 - Conference contribution
AN - SCOPUS:34948860626
SN - 1424407907
SN - 9781424407903
T3 - Proceedings of the 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007
SP - 190
EP - 195
BT - Proceedings of the 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007
T2 - 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007
Y2 - 20 June 2007 through 23 June 2007
ER -