Time invariant hand gesture recognition for human-computer interaction
https://doi.org/10.15514/ISPRAS-2014-26(4)-8
Abstract
Hand motion driven human-computer interface based on novel time-invariant gesture description is proposed. Description is represented as a sequence of overthreshold motion distribution histograms. Such description utilizes information about gesture spatial configuration and motion dynamics. K-nearest-neighbour classifier was trained on six gesture types. Application for remote slideshow control was developed based on the proposed algorithm.
About the Authors
D. Kostyrev
A.B. Kogan Research Institute for Neurocybernetics
Russian Federation
Russian Federation
S. Anischenko
A.B. Kogan Research Institute for Neurocybernetics
Russian Federation
Russian Federation
M. Petrushan
A.B. Kogan Research Institute for Neurocybernetics
Russian Federation
Russian Federation
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Review
For citations:
Kostyrev D., Anischenko S., Petrushan M. Time invariant hand gesture recognition for human-computer interaction. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2014;26(4):99-112. (In Russ.) https://doi.org/10.15514/ISPRAS-2014-26(4)-8
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