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Dynamic hand gesture recognition using generalized time warping and deep belief networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Body gestures play an important role in human communications, specially hand gestures are the most distinctive features in sign languages. Several works have been proposed in order to recognize hand gestures using static and dynamic approaches. Nevertheless, due to the high variety of signs and the dynamic changes exhibited in different hand motions, a strategy for modeling these dynamic changes in hand signs must be fulfilled. In this work we propose a framework for dynamic hand gesture recognition using a well known method for alignment of time series as the Generalized Time Warping (GTW). Several features are extracted from the aligned sequences of hand gestures based on texture descriptors. Then a methodology for hand motion recognition is carried out based on Convolutional Neural Networks. The obtained results show that the methodology proposed allows an accurate recognition of several hand gestures obtained from the RVL-SLLL American Sign Language Database.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings
EditorsBahram Parvin, Darko Koracin, Rogerio Feris, Gunther Weber, Ioannis Pavlidis, Tim McGraw, Regis Kopper, Zhao Ye, Eric Ragan, George Bebis, Mark Elendt, Richard Boyle
PublisherSpringer Verlag
Pages682-691
Number of pages10
ISBN (Print)9783319278629
DOIs
StatePublished - 2015
Externally publishedYes
Event11th International Symposium on Advances in Visual Computing , ISVC 2015 - Las Vegas, United States
Duration: 14 Dec 201516 Dec 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9475
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Symposium on Advances in Visual Computing , ISVC 2015
Country/TerritoryUnited States
CityLas Vegas
Period14/12/1516/12/15

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