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A gesture recognition architecture for sign language

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Annelies BraffortAuthors Info & Claims

Assets '96: Proceedings of the second annual ACM conference on Assistive technologies

Pages 102 - 109

https://doi.org/10.1145/228347.228364

Published: 15 April 1996 Publication History

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Abstract

This paper presents a gesture recognition architecture dedicated to Sign Languages. Sign Language gestures include five co-occurring parameters, which convey complementary independent information. Some signs belong to a predefined lexicon which can be learned by the recognition system, but some other signs may be created during the discourses, depending on the context. The proposed recognition system is able to recognise both kinds of signs, by using specific classification tools, and a virtual scene for context storage. It is based on a study of French Sign Language (LSF).

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Cited By

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Lepouras G(2018)Comparing methods for numerical input in immersive virtual environmentsVirtual Reality10.1007/s10055-017-0312-522:1(63-77)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1007/s10055-017-0312-5
Chuan NSivaji ALoo FAhmad WNathan S(2017)Evaluating ‘Gesture Interaction’ requirements of mobile applications for deaf users: Discovering the needs of the hearing-impiared in using touchscreen gestures2017 IEEE Conference on Open Systems (ICOS)10.1109/ICOS.2017.8280280(90-95)Online publication date: Nov-2017
https://doi.org/10.1109/ICOS.2017.8280280
Lepouras G(2009)Numerical input techniques for immersive virtual environments2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurements Systems10.1109/VECIMS.2009.5068901(240-245)Online publication date: May-2009
https://doi.org/10.1109/VECIMS.2009.5068901
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Published In

Assets '96: Proceedings of the second annual ACM conference on Assistive technologies

April 1996

146 pages

ISBN:0897917766

DOI:10.1145/228347

Chairmen:
Ephraim P. Glinert
Rensselaer Polytechnic Institute, Troy, NY
,
David L. Jaffe
Palo Alto VA Health Care Systems

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 April 1996

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ASSETS96

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SIGACCESS

ASSETS96: The 2nd International ACM/SIGCAPH Conference on Assistive Technologies

April 11 - 12, 1996

British Columbia, Vancouver, Canada

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Overall Acceptance Rate 436 of 1,556 submissions, 28%

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Cited By

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Lepouras G(2018)Comparing methods for numerical input in immersive virtual environmentsVirtual Reality10.1007/s10055-017-0312-522:1(63-77)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1007/s10055-017-0312-5
Chuan NSivaji ALoo FAhmad WNathan S(2017)Evaluating ‘Gesture Interaction’ requirements of mobile applications for deaf users: Discovering the needs of the hearing-impiared in using touchscreen gestures2017 IEEE Conference on Open Systems (ICOS)10.1109/ICOS.2017.8280280(90-95)Online publication date: Nov-2017
https://doi.org/10.1109/ICOS.2017.8280280
Lepouras G(2009)Numerical input techniques for immersive virtual environments2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurements Systems10.1109/VECIMS.2009.5068901(240-245)Online publication date: May-2009
https://doi.org/10.1109/VECIMS.2009.5068901
Collet CGherbi R(1998)Visual perception tools for natural interaction - a gaze capture and tracking system1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)10.1109/IAI.1998.666866(91-96)Online publication date: 1998
https://doi.org/10.1109/IAI.1998.666866
Collet CFinkel AGherbi R(1997)CapRe: a gaze tracking system in man-machine interactionProceedings of IEEE International Conference on Intelligent Engineering Systems10.1109/INES.1997.632482(577-581)Online publication date: 1997
https://doi.org/10.1109/INES.1997.632482

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