Combined Hand Gesture — Speech Model for Human Action Recognition

This study proposes a dynamic hand gesture detection technology to effectively detect dynamic hand gesture areas, and a hand gesture recognition technology to improve the dynamic hand gesture recognition rate. Meanwhile, the corresponding relationship between state sequences in hand gesture and spee...

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Main Authors:	Cheng, Sheng-Tzong, Hsu, Chih-Wei, Li, Jian-Pan
Format:	Online
Language:	English
Published:	Molecular Diversity Preservation International (MDPI) 2013
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3892835/

id	pubmed-3892835
recordtype	oai_dc
spelling	pubmed-38928352014-01-16 Combined Hand Gesture — Speech Model for Human Action Recognition Cheng, Sheng-Tzong Hsu, Chih-Wei Li, Jian-Pan Article This study proposes a dynamic hand gesture detection technology to effectively detect dynamic hand gesture areas, and a hand gesture recognition technology to improve the dynamic hand gesture recognition rate. Meanwhile, the corresponding relationship between state sequences in hand gesture and speech models is considered by integrating speech recognition technology with a multimodal model, thus improving the accuracy of human behavior recognition. The experimental results proved that the proposed method can effectively improve human behavior recognition accuracy and the feasibility of system applications. Experimental results verified that the multimodal gesture-speech model provided superior accuracy when compared to the single modal versions. Molecular Diversity Preservation International (MDPI) 2013-12-12 /pmc/articles/PMC3892835/ /pubmed/24351628 http://dx.doi.org/10.3390/s131217098 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Cheng, Sheng-Tzong Hsu, Chih-Wei Li, Jian-Pan
spellingShingle	Cheng, Sheng-Tzong Hsu, Chih-Wei Li, Jian-Pan Combined Hand Gesture — Speech Model for Human Action Recognition
author_facet	Cheng, Sheng-Tzong Hsu, Chih-Wei Li, Jian-Pan
author_sort	Cheng, Sheng-Tzong
title	Combined Hand Gesture — Speech Model for Human Action Recognition
title_short	Combined Hand Gesture — Speech Model for Human Action Recognition
title_full	Combined Hand Gesture — Speech Model for Human Action Recognition
title_fullStr	Combined Hand Gesture — Speech Model for Human Action Recognition
title_full_unstemmed	Combined Hand Gesture — Speech Model for Human Action Recognition
title_sort	combined hand gesture — speech model for human action recognition
description	This study proposes a dynamic hand gesture detection technology to effectively detect dynamic hand gesture areas, and a hand gesture recognition technology to improve the dynamic hand gesture recognition rate. Meanwhile, the corresponding relationship between state sequences in hand gesture and speech models is considered by integrating speech recognition technology with a multimodal model, thus improving the accuracy of human behavior recognition. The experimental results proved that the proposed method can effectively improve human behavior recognition accuracy and the feasibility of system applications. Experimental results verified that the multimodal gesture-speech model provided superior accuracy when compared to the single modal versions.
publisher	Molecular Diversity Preservation International (MDPI)
publishDate	2013
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3892835/
_version_	1612047858471534592

Combined Hand Gesture — Speech Model for Human Action Recognition

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