Gesture recognition for an exergame prototype

Authors :: Gacem, B.
Vergouw, R.
Verbiest, H.
Cicek, E.
van Oosterhout, T.
Bakkes, S.
Kröse, B.
De Causmaecker, P.
Maervoet, J.
Messelis, T.
Verbeeck, K.
Vermeulen, T.
Amsterdam Machine Learning lab (IVI, FNWI)
Source :: Proceedings of the 23rd Benelux Conference on Artificial Intelligence: 3-4 November 2011, Ghent, Belgium, 457-458, STARTPAGE=457;ENDPAGE=458;TITLE=Proceedings of the 23rd Benelux Conference on Artificial Intelligence
Publication Year :: 2011
Publisher :: BNAIC, 2011.
Abstract: We will demonstrate a prototype exergame aimed at the serious domain of elderly fitness. The exergame incorporates straightforward means to gesture recognition, and utilises a Kinect camera to obtain 2.5D sensory data of the human user.

Subjects :: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
ComputingMilieux_PERSONALCOMPUTING

Language :: English
Database :: OpenAIRE
Journal :: Proceedings of the 23rd Benelux Conference on Artificial Intelligence: 3-4 November 2011, Ghent, Belgium, 457-458, STARTPAGE=457;ENDPAGE=458;TITLE=Proceedings of the 23rd Benelux Conference on Artificial Intelligence
Accession number :: edsair.narcis........1410207795f960b90a5cacc57eb0feb5

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