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Authors: Chitralekha Mahanta ; T. Srinivas Yadav and Hemanta Medhi

Affiliation: Indian Institute of Technology Guwahati, India

Keyword(s): MPEG-7 art shape descriptor, Radial basis function, Particle filter.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction

Abstract: Vision-based hand gesture recognition enabling computers to understand hand gestures as humans do is an important technology for intelligent human computer interaction. In this paper, a recognition system for dynamic hand gestures is proposed. In dynamic hand gesture recognition, hand is segmented by using background subtraction method. MPEG-7 ART based shape descriptors are used to extract spatial information. Our approach is based on particle filter to extract trajectory features. After collecting suitable features, Radial Basis Function neural network is used for classification. Gesture recognition rate is in the range of 80% to 98%.

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Paper citation in several formats:
Mahanta, C.; Srinivas Yadav, T. and Medhi, H. (2011). DYNAMIC HAND GESTURE RECOGNITION SYSTEM USING NEURAL NETWORK. In Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS; ISBN 978-989-8425-48-5; ISSN 2184-2817, SciTePress, pages 253-256. DOI: 10.5220/0003299102530256

@conference{peccs11,
author={Chitralekha Mahanta. and T. {Srinivas Yadav}. and Hemanta Medhi.},
title={DYNAMIC HAND GESTURE RECOGNITION SYSTEM USING NEURAL NETWORK},
booktitle={Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS},
year={2011},
pages={253-256},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003299102530256},
isbn={978-989-8425-48-5},
issn={2184-2817},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS
TI - DYNAMIC HAND GESTURE RECOGNITION SYSTEM USING NEURAL NETWORK
SN - 978-989-8425-48-5
IS - 2184-2817
AU - Mahanta, C.
AU - Srinivas Yadav, T.
AU - Medhi, H.
PY - 2011
SP - 253
EP - 256
DO - 10.5220/0003299102530256
PB - SciTePress

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