Towards real-time sign language analysis via markerless gesture tracking

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.

PDF (Towards real-time sign language analysis via markerless gesture tracking) - Published Version Restricted to Repository staff only Download (647kB) | Request a copy

Abstract

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.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	5806/5372
Uncontrolled Keywords:	markerless gesture recognition , sign language recognition , sign language translation
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Prof. Dr. Rini Akmeliawati
Date Deposited:	14 Nov 2011 15:06
Last Modified:	25 Jan 2012 07:48
URI:	http://irep.iium.edu.my/id/eprint/5372

Actions (login required)

View Item