A static hand gesture recognition algorithm using k-mean based radial basis function neural network

Abstract

The accurate classification of static hand gestures is a vital role to develop a hand gesture recognition system which is used for human-computer interaction (HCI) and for human alternative and augmentative communication (HAAC) application. A vision-based static hand gesture recognition algorithm consists of three stages: preprocessing, feature extraction… (More)
DOI: 10.1109/ICICS.2011.6174264

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@article{Ghosh2011ASH, title={A static hand gesture recognition algorithm using k-mean based radial basis function neural network}, author={Dipak Kumar Ghosh and Samit Ari}, journal={2011 8th International Conference on Information, Communications & Signal Processing}, year={2011}, pages={1-5} }