DocumentCode :
529313
Title :
Evolutionary algorithms for gesture segmentation
Author :
Handa, Hisashi ; Kawakam, Hiroshi
Author_Institution :
Grad. Sch. of Natural Sci. & Technol., Okayama Univ., Okayama, Japan
fYear :
2010
fDate :
18-21 Aug. 2010
Firstpage :
1722
Lastpage :
1723
Abstract :
From the viewpoint of “UBEN-EKI,” we have developed an inconvenient input method for mobile devices, which provides us with chances of exploration. In the proposed mobile device, users provide a large number of motions to systems, which should be learnt. In this paper, we constitute evolutionary algorithms to automatically extract frequently-observed motions from whole the motion sequence.
Keywords :
evolutionary computation; feature extraction; gesture recognition; image motion analysis; image segmentation; image sequences; mobile computing; time warp simulation; FUBEN-EKI; dynamic time warping; evolutionary algorithm; frequently-observed motion extraction; gesture segmentation; mobile device; motion sequence; Data mining; Evolutionary computation; Humans; Mobile handsets; Speech; Synthesizers; Three dimensional displays; Dynamic Time Warping; Evolutionary Algorithms; Frequently-Observed Motion Extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8
Type :
conf
Filename :
5602546
Link To Document :
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