Towards an assistive tool for Greek sign language communication

Proceedings - 3rd IEEE International Conference on Advanced Learning Technologies, ICALT 2003

Volumn , Issue , 2003, Pages 125-129

  Vassilia, Pashaloudi N ^a   Konstantinos, Margaritis G ^a  

^a UNIVERSITY OF MACEDONIA   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 80055059960     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICALT.2003.1215041     Document Type: Conference Paper

References (17)

1. M. Waldron and S. Kim Isolated ASL Sign Recognition System for Deaf Persons, IEEE Transactions on Rehabilitation Engineering, Vol. 3, No. 3, 1995.
2. E. Holden, R. Owens and G. Roy, Hand Movement Classification using an adaptive Fuzzy Expert System, International Journal of Expert Systems Research and Applications, Vol. 9, Iss. 4, pp. 465-480, 1996.
3. R.-H. Liang and M. Ouhyoung, A Real-time Continuous Alphabetic Sign Language to Speech Conversion VR System, Computer Graphics Forum, Vol. 14, No. 3, pp. C67-C77, 1995.
4. R.-H. Liang and M. Ouhyoung, A Sign Language Recognition System Using Hidden Markov Model and Context Sensitive Search, Proceedings of the ACM Symposium on Virtual Reality Software and Technology, pp. 59-66, HongKong, 1996.
5. R.-H. Liang and M. Ouhyoung, A Real-time Continuous Gesture Recognition System for Sign Language, Proceedings of the Third International Conference on Automatic Face and Gesture Recognition, pp. 558-565, Nara, Japan, 1998.
6. T. Starner and A. Pentland, Real-time American Sign Language Recognition from Video using Hidden Markov Models, Perceptual Computing Section, Technical Report No. 375, MIT Media Lab Cambridge MA, 1996.
7. T. Starner, J. Weaver and A. Pentland, A Wearable Computer Based American Sign Language Recognizer, The First International Symposium on Wearable Computers, pp. 130-137, 1997.
8. T. Starner, J. Weaver and A. Pentland, Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video, Pattern Analysis and Machine Intelligence, 1998.
9. H. Hienz, B. Bauer and K.-F Kraiss, HMM-Based Continuous Sign Language Recognition Using Stochastic Grammars, GesturE Workshop, Gif sur Yvette, France, 1999.
10. S. Fels and G. Hinton, Glove-Talk: A Neural Network Interface Between a Data-Glove and a Speech Synthesizer, IEEE transactions on Neural Networks, Vol. 4, No. 1, 1993.
11. V. Pashaloudi and K. Margaritis, On Greek Sign Language Alphabet Character Recognition: using Back-Propagation Neural Networks, Procedings of the 5th Hellenic European Research on Computer Mathematics and its Applications (HERCMA) Conference, Athens, 2001.
12. C. Charayaphan and A. Marble, Image Processing System for Interpreting Motion in American Sign Language, Journal of Biomedical Engineering, Vol. 14, pp. 419-425, 1992.
13. O. Al-Jarrah and A. Halawani, Recognition of gestures in Arabic Sign Language using neuro-fuzzy systems, Artificial Intelligence 133, pp.117-138, 2001.
14. A.K. Jain, Fundamendals of Digital Image Processing, Englewood Cliffs :Prentice Hall, NJ, 1989.
15. C. Vogler and D. Metaxas, ASL Recognition based on a Coupling Between HMMs and 3D Motion Analysis, Proceedings of the International Conference on Computer Vision, pp. 363-369, Mumbai, India,1998.
16. T.Starner and A. Pentland. Real-time American Sign Language recognition from video using hidden Markov models. Perceptual Computing Section, Technical Report No. 375 MIT Media Lab Cambridge MA 1996.
17. S. Young, D. Kershaw, J.Odell, D. Ollason, V. Valtchev and Ph. Woodland, The HTK Book.