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Authors: Sanjay Kumar ; Dinesh Kant Kumar and Arun Sharma

Affiliation: RMIT University, Australia

Keyword(s): Hand gestures classification, motion based representation, Computer Vision, K-NN method Mahalanobis distance.

Related Ontology Subjects/Areas/Topics: Human-Robots Interfaces ; Informatics in Control, Automation and Robotics ; Robotics and Automation ; Vision, Recognition and Reconstruction

Abstract: A new technique for automated classification of human hand gestures for robotics and computer control applications is presented. It uses view-based approach for representation, and statistical technique 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 Temporal History Templates (THTs). These THT’s are used to compute the 7 Hu image moments that are invariant to scale, rotation and translation. The recognition criterion is established using K-nearest neighbor (K-NN) mahalanobis distance. The preliminary experiments show that such a system can classify human hand gestures with a classification accuracy of 92%. Our research has been carried on in the robotics framework. The overall goal of our research is to test for accuracy of the recognition of hand gestures using this computationally inexpensive way of dimensionality -reduced representation of gestures for its suitability for robotics. (More)

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Paper citation in several formats:
Kumar, S.; Kumar, D. and Sharma, A. (2004). VISUAL HAND MOVEMENTS FOR MACHINE CONTROL. In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 972-8865-12-0; ISSN 2184-2809, SciTePress, pages 215-220. DOI: 10.5220/0001147102150220

@conference{icinco04,
author={Sanjay Kumar. and Dinesh Kant Kumar. and Arun Sharma.},
title={VISUAL HAND MOVEMENTS FOR MACHINE CONTROL},
booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2004},
pages={215-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001147102150220},
isbn={972-8865-12-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - VISUAL HAND MOVEMENTS FOR MACHINE CONTROL
SN - 972-8865-12-0
IS - 2184-2809
AU - Kumar, S.
AU - Kumar, D.
AU - Sharma, A.
PY - 2004
SP - 215
EP - 220
DO - 10.5220/0001147102150220
PB - SciTePress

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