Time invariant hand gesture recognition for human-computer interaction.
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.
Proceedings of the Institute for System Programming, vol. 26, issue 4, 2014, pp. 99-112.
ISSN 2220-6426 (Online), ISSN 2079-8156 (Print).
DOI: 10.15514/ISPRAS-2014-26(4)-8Full text of the paper in pdf Back to the contents of the volume