Assessment of muscle fatigue using a probabilistic framework for an EMG-based robot control scenario

Artemiadis, P; Kyriakopoulos, K

dc.contributor.author	Artemiadis, P	en
dc.contributor.author	Kyriakopoulos, K	en
dc.date.accessioned	2014-03-01T02:51:19Z
dc.date.available	2014-03-01T02:51:19Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35467
dc.subject	Muscle Fatigue	en
dc.subject	Robot Arm	en
dc.subject	Robot Control	en
dc.subject	Space Use	en
dc.subject	Special Needs	en
dc.subject	Three Dimensional	en
dc.subject	Long Period	en
dc.subject	Real Time	en
dc.subject	Upper Limb	en
dc.title	Assessment of muscle fatigue using a probabilistic framework for an EMG-based robot control scenario	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/BIBE.2008.4696753	en
heal.identifier.secondary	http://dx.doi.org/10.1109/BIBE.2008.4696753	en
heal.publicationDate	2008	en
heal.abstract	Human-robot control interfaces have received increased attention during the last decades. With the introduction of robots in every-day life, especially in developing services for people with special needs (i.e. elderly or impaired persons), there is a strong necessity of simple and natural control interfaces. In this paper, electromyographic (EMG) signals from muscles of the human upper limb are used as	en
heal.journalName	IEEE International Conference on Bioinformatics and Bioengineering	en
dc.identifier.doi	10.1109/BIBE.2008.4696753	en