loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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%.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.188.142.146

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic