dc.creator | Poularakis, S. | en |
dc.creator | Tsagkatakis, G. | en |
dc.creator | Tsakalides, P. | en |
dc.creator | Katsavounidis, I. | en |
dc.date.accessioned | 2015-11-23T10:45:59Z | |
dc.date.available | 2015-11-23T10:45:59Z | |
dc.date.issued | 2013 | |
dc.identifier | 10.1109/ICASSP.2013.6638358 | |
dc.identifier.isbn | 9781479903566 | |
dc.identifier.issn | 15206149 | |
dc.identifier.uri | http://hdl.handle.net/11615/32427 | |
dc.description.abstract | Dynamic recognition of gestures from video sequences is a challenging task due to the high variability in the characteristics of each gesture with respect to different individuals. In this work, we propose a novel representation of gestures as linear combinations of the elements of an overcomplete dictionary, based on the emerging theory of sparse representations. We evaluate our approach on a publicly available gesture dataset of Palm Grafti Digits and compare it with other state-of-the-art methods, such as Hidden Markov Models, Dynamic Time Warping and the recently proposed distance metric termed Move-Split-Merge. Our experimental results suggest that the proposed recognition scheme offers high recognition accuracy in isolated gesture recognition and a satisfying robustness to noisy data, thus indicating that sparse representations can be successfully applied in the field of gesture recognition. © 2013 IEEE. | en |
dc.source.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-84890526864&partnerID=40&md5=43d074a242eaba039ac70ea0ca57735d | |
dc.subject | compressive sensing | en |
dc.subject | gesture recognition | en |
dc.subject | sparse representations | en |
dc.subject | Dynamic time warping | en |
dc.subject | Hand-gesture recognition | en |
dc.subject | Linear combinations | en |
dc.subject | Over-complete dictionaries | en |
dc.subject | Recognition accuracy | en |
dc.subject | Sparse representation | en |
dc.subject | State-of-the-art methods | en |
dc.subject | Data processing | en |
dc.subject | Hidden Markov models | en |
dc.subject | Signal processing | en |
dc.title | Sparse representations for hand gesture recognition | en |
dc.type | conferenceItem | en |