EMG-Based Position and Force Estimates in Coupled Human-Robot Systems: Towards EMG-Controlled Exoskeletons

Artemiadis, P; Kyriakopoulos, K

dc.contributor.author	Artemiadis, P	en
dc.contributor.author	Kyriakopoulos, K	en
dc.date.accessioned	2014-03-01T02:51:20Z
dc.date.available	2014-03-01T02:51:20Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35482
dc.subject	Robot Arm	en
dc.subject	Upper Limb	en
dc.title	EMG-Based Position and Force Estimates in Coupled Human-Robot Systems: Towards EMG-Controlled Exoskeletons	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-00196-3_29	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-00196-3_29	en
heal.publicationDate	2008	en
heal.abstract	This paper presents a methodology for the control of robots, in position and force, using electromyographic (EMG) signals recorded from muscles of the shoulder and elbow. A switching model is used for decoding muscular activity to both joint angles and force exerted from the human upper limb to the environment. The proposed method is able to estimate those variables in	en
heal.journalName	International Symposium on Experimental Robotics	en
dc.identifier.doi	10.1007/978-3-642-00196-3_29	en