Towards real-time sign language analysis via markerless gesture tracking

This paper introduces the gesture and hand posture tracking systems for a prototype real-time New Zealand sign language recognition system. The novelty of this work is in the markerless tracking of 13 gestures plus an unknown gesture category. Currently the gesture set is limited, but over time a mo...

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Main Authors: Akmeliawati, Rini, Dadgostar, Farhad, Demidenko, S., Gamage, N., Kuang, Y.C., Messom, C., Ooi, M., Sarrafzadeh, A., SenGupta, G.
Format: Proceeding Paper
Language:English
Published: 2009
Subjects:
Online Access:http://irep.iium.edu.my/5372/1/i2mtc2009_towards.pdf
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author Akmeliawati, Rini
Dadgostar, Farhad
Demidenko, S.
Gamage, N.
Kuang, Y.C.
Messom, C.
Ooi, M.
Sarrafzadeh, A.
SenGupta, G.
author_facet Akmeliawati, Rini
Dadgostar, Farhad
Demidenko, S.
Gamage, N.
Kuang, Y.C.
Messom, C.
Ooi, M.
Sarrafzadeh, A.
SenGupta, G.
author_sort Akmeliawati, Rini
collection IIUM
description This paper introduces the gesture and hand posture tracking systems for a prototype real-time New Zealand sign language recognition system. The novelty of this work is in the markerless tracking of 13 gestures plus an unknown gesture category. Currently the gesture set is limited, but over time a more extensive gesture library can be developed and trained using the same technique. The hand posture system currently uses markers to obtain the high level of accuracy required for recognition of spelling of words in sign language using finger-pointing. Markerless hand posture detection has been shown to be more challenging especially with different signers who have not been used to train the system.
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spelling oai:generic.eprints.org:53722012-01-24T23:48:15Z http://irep.iium.edu.my/5372/ Towards real-time sign language analysis via markerless gesture tracking Akmeliawati, Rini Dadgostar, Farhad Demidenko, S. Gamage, N. Kuang, Y.C. Messom, C. Ooi, M. Sarrafzadeh, A. SenGupta, G. TK Electrical engineering. Electronics Nuclear engineering This paper introduces the gesture and hand posture tracking systems for a prototype real-time New Zealand sign language recognition system. The novelty of this work is in the markerless tracking of 13 gestures plus an unknown gesture category. Currently the gesture set is limited, but over time a more extensive gesture library can be developed and trained using the same technique. The hand posture system currently uses markers to obtain the high level of accuracy required for recognition of spelling of words in sign language using finger-pointing. Markerless hand posture detection has been shown to be more challenging especially with different signers who have not been used to train the system. 2009 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/5372/1/i2mtc2009_towards.pdf Akmeliawati, Rini and Dadgostar, Farhad and Demidenko, S. and Gamage, N. and Kuang, Y.C. and Messom, C. and Ooi, M. and Sarrafzadeh, A. and SenGupta, G. (2009) Towards real-time sign language analysis via markerless gesture tracking. In: I2MTC '09. IEEE Instrumentation and Measurement Technology Conference, 2009., 5-7 May 2009, Singapore. http://dx.doi.org/10.1109/IMTC.2009.5168637 doi:10.1109/IMTC.2009.5168637
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Akmeliawati, Rini
Dadgostar, Farhad
Demidenko, S.
Gamage, N.
Kuang, Y.C.
Messom, C.
Ooi, M.
Sarrafzadeh, A.
SenGupta, G.
Towards real-time sign language analysis via markerless gesture tracking
title Towards real-time sign language analysis via markerless gesture tracking
title_full Towards real-time sign language analysis via markerless gesture tracking
title_fullStr Towards real-time sign language analysis via markerless gesture tracking
title_full_unstemmed Towards real-time sign language analysis via markerless gesture tracking
title_short Towards real-time sign language analysis via markerless gesture tracking
title_sort towards real time sign language analysis via markerless gesture tracking
topic TK Electrical engineering. Electronics Nuclear engineering
url http://irep.iium.edu.my/5372/1/i2mtc2009_towards.pdf
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