Hand trajectory based gesture recognition using self-organizing feature maps and Markov models

Caridakis, G; Karpouzis, K; Pateritsas, C; Drosopoulos, A; Stafylopatis, A; Kollias, S

dc.contributor.author	Caridakis, G	en
dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Pateritsas, C	en
dc.contributor.author	Drosopoulos, A	en
dc.contributor.author	Stafylopatis, A	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:45:18Z
dc.date.available	2014-03-01T02:45:18Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32266
dc.subject	Gesture recognition	en
dc.subject	Markov processes	en
dc.subject	Self organizing feature map	en
dc.subject.other	Classifiers	en
dc.subject.other	Conformal mapping	en
dc.subject.other	Exhibitions	en
dc.subject.other	Gesture recognition	en
dc.subject.other	Maps	en
dc.subject.other	Markov processes	en
dc.subject.other	Optical projectors	en
dc.subject.other	Trajectories	en
dc.subject.other	Classification mechanisms	en
dc.subject.other	Committee machines	en
dc.subject.other	Experimental verifications	en
dc.subject.other	Hand positions	en
dc.subject.other	Markov models	en
dc.subject.other	Original systems	en
dc.subject.other	Self organizing feature map	en
dc.subject.other	Self-organizing feature maps	en
dc.subject.other	Spatial informations	en
dc.subject.other	Temporal aspects	en
dc.subject.other	Trajectory based	en
dc.subject.other	Self organizing maps	en
dc.title	Hand trajectory based gesture recognition using self-organizing feature maps and Markov models	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICME.2008.4607632	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICME.2008.4607632	en
heal.identifier.secondary	4607632	en
heal.publicationDate	2008	en
heal.abstract	This work presents the design and experimental verification of an original system architecture aiming at recognizing gestures based solely on the hand trajectory. Self organizing feature maps are used to model spatial information while Markov models encode the temporal aspect of hand position within a trajectory. A validated classification mechanism is produced through a set of models and a committee machine setup ensures robustness as indicated by the experimental results performed. © 2008 IEEE.	en
heal.journalName	2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings	en
dc.identifier.doi	10.1109/ICME.2008.4607632	en
dc.identifier.spage	1105	en
dc.identifier.epage	1108	en