Classification of visual hand movements using multiresolution wavelet images

Kumar, S, Kumar, D, Sharma, A and McLachlan, N 2004, 'Classification of visual hand movements using multiresolution wavelet images', in M. Palliniswamy (ed.) Proceedings of the First International Conference on Intelligent Sensing and Information Processing, Chennai, India, 2004.


Document type: Conference Paper
Collection: Conference Papers

Title Classification of visual hand movements using multiresolution wavelet images
Author(s) Kumar, S
Kumar, D
Sharma, A
McLachlan, N
Year 2004
Conference name International Conference on Intelligent Sensing and Information Processing
Conference location Chennai, India
Conference dates 2004
Proceedings title Proceedings of the First International Conference on Intelligent Sensing and Information Processing
Editor(s) M. Palliniswamy
Publisher IEEE
Place of publication Chennai, India
Abstract This paper presents a novel technique for classifying human hand gestures based on stationary wavelet transform (SWT). It uses view-based approach for representation of hand actions, and artificial neural networks (ANN) for classification. This approach uses a cumulative image-difference technique where the time between the sequences of images is implicitly captured in the representation of action. This results in the construction of motion history images (MHI). These MHI's are decomposed into 4 sub images using SWT, approximate and detailed images. The approximate image is fed as the global image descriptors to the ANN for classification. The recognition criterion is established using backpropagation based multilayer perceptron (MLP). The preliminary experiments show that such a system can classify human hand gestures with a classification accuracy of 97%.
Subjects Biomedical Engineering not elsewhere classified
Keyword(s) hand gestures classification
motion based representation
wavelet transform
computer vision
artificial neural networks
DOI - identifier 10.1109/ICISIP.2004.1287686
Copyright notice © 2004 IEEE
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