A wearable computer-based American sign language recogniser

Personal and Ubiquitous Computing

Volumn 1, Issue 4, 1997, Pages 241-250

  Starner, Thad ^a   Weaver, Joshua ^a   Pentland, Alex ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER APPLICATIONS; HARDWARE;

AMERICAN SIGN LANGUAGE; MOBILE ENVIRONMENTS; RESEARCH EFFORTS;

WEARABLE COMPUTERS;

EID: 77950808207     PISSN: 16174909     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01682027     Document Type: Article

References (30)

1. Takahashi T and Kishino F. Hand gesture coding based on experiments using a hand gesture interface device. SIGCHI Bul., 1991; 23(2): 67-73.
2. Starner T and Pentland A. Real-time American Sign Language recognition from video using hidden markov models. MIT Media Laboratory, Perceptual Computing Group TR#375, Presented at ISCV'95.
3. Domer B. Hand shape identification and tracking for sign language interpretation. IJCAI Workshop on Looking at People, 1993.
4. Poizner H, Bellugi U and Lutes-Driscoll V. Perception of American Sign Language in dynamic point-light displays. J. Exp. Pyschol.: Human Perform. 1981; 7: 430-440.
5. Sperling G, Landy M, Cohen Y and Pavel M. Intelligible encoding of ASL image sequences at extremely low information rates. Comp. Vision, Graphics, and Image Proc. 1985; 31: 335-391.
6. Starner T, Makhoul J, Schwartz R and Chou G. On-line cursive handwriting recognition using speech recognition methods. ICASSP, V- 125, 1994.
7. Huang X, Ariki Y and Jack M. Hidden Markov Models for Speech Recognition. Edinburgh Univ. Press, Edinburgh, 1990.
8. Essa I, Darrell T and Pentland A. Tracking facial motion. IEEE Workshop on Nonrigid and Articulated Motion, Austin TX, Nov. 1994.
9. Humphries T, Padden C and O'Rourke T. A Basic Course in American Sign Language. T. J. Publ., Inc., Silver Spring, MD, 1980.
10. Tamura S and Kawasaki S. Recognition of sign language motion images. Pattern Recognition, 1988; 21: 343-353.
11. Charayaphan C and Marble A. Image processing system for interpreting motion in American Sign Language. Journal of Biomedical Engineering, 1992; 14: 419-425.
12. Cui Y and Weng J. Learning-based hand sign recognition. Intl. Work. Auto. Face Gest. Recog. (IWAFGR) '95 Proceedings, 1995; 201-206.
13. Murakami K and Taguchi H. Gesture recognition using recurrent neural networks. CHI '91 Conference Proceedings, 1991; 237-241.
14. Lee C and Xu Y. Online, interactive learning of gestures for human/robot interfaces. IEEE Int. Conf. on Robotics and Automation, 1996; 2982-2987.
15. Messing L, Erenshteyn R, Foulds R., Galuska S and Stern G. American Sign Language computer recognition: its present and its promise. Conf. the Intl. Society for Augmentative and Alternative Communication, 1994; 289-291.
16. Kadous W. Recognition of Australian Sign Language using instrumented gloves. Bachelor's thesis, University of New South Wales, October 1995.
17. Liang R. and Ouhyoung M., A real-time continuous gesture interface for Taiwanese Sign Language. Submitted to UIST, 1997.
18. Yamato J, Ohya J and Ishii K. Recognising human action in time-sequential images using hidden Markov models. Proc. 1992 ICCV, IEEE Press, 1992; 379-385.
19. Darrell T and Pentland A. Space-time gestures. CVPR, 1993; 335-340.
20. Schlenzig J, Hunter E and Jain R. Recursive identification of gesture inputers using hidden Markov models. Proc. Second Ann. Conf. on Appl. of Comp. Vision, 1994; 187-194.
21. Wilson A and Bobick A. Learning visual behaviour for gesture analysis. Proc. IEEE Int'l. Syrup. on Comp. Vis., Nov. 1995.
22. Campbell L, Becker D, Azarbayejani A, Bobick A and Pentland A. Invariant features for 3-D gesture recognition. Intl. Conf. on Face and Gesture Recogn. 1996; 157-162.
23. Rehg J and Kanade T. DigitEyes: vision-based human hand tracking. School of Computer Science Technical Report CMU-CS-93-220, Carnegie Mellon Univ., Dec. 1993.
24. Mann S. Mediated reality. MIT Media Lab, Perceptual Computing Group TR# 260, 1995.
25. Horn B. Robot Vision. MIT Press, NY, 1986.
26. Baum L. An inequality and associated maximisation technique in statistical estimation ofprobabilistic fimctions of Markov processes. Inequalities, 1972; 3: 1-8.
27. Rabiner L and Juang B. An introduction to hidden Markov models. IEEE ASSP Magazine, Jan. 1996; 4-16.
28. Young S. HTK: Hidden Markov Model Toolkit V1.5. Cambridge Univ. Eng. Dept. Speech Group and Entropic Research Lab. Inc., Washington DC, Dec. 1993.
29. Starner T. VisuaI recognition of American Sign Language using hidden Markov models. Master's thesis, MIT Media Laboratory, Feb. 1995.
30. Juang B. Maximum likelihood estimation for mixture multivariate observations of Markov chains. AT&T Tech. J., 1985; 64: 1235-1249.