The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Real-time American Sign Language recognition from video using hidden Markov models
Abstract
Hidden Markov models (HMMs) have been used prominently and successfully in speech recognition and, more recently, in handwriting recognition. Consequently, they seem ideal for visual recognition of complex, structured hand gestures such as are found in sign language. We describe a real-time HMM-based system for recognizing sentence level American Sign Language (ASL) which attains a word accuracy of 99.2% without explicitly modeling the fingers.
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Cites
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Cited by
Real-time American sign language recognition using desk and wearable computer based video
Starner, T., Weaver, J., & Pentland, A. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.735811 · Cited by 1,335
Self-citationActivity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
Duong, T. V., Bui, H. H., Phung, D. Q., & Venkatesh, S. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.61 · Cited by 535
HUMAN–ROBOT COLLABORATION: A SURVEY
BAUER, A., WOLLHERR, D., & BUSS, M. (2008) · International Journal of Humanoid Robotics · doi:10.1142/s0219843608001303 · Cited by 493
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
Bragg, D., Koller, O., Bellard, M., Berke, L., Boudreault, P., Braffort, A., Caselli, N., Huenerfauth, M., Kacorri, H., Verhoef, T., et al. (2019) · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3308561.3353774 · Cited by 422
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Oliver, N., Garg, A., & Horvitz, E. (2004) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2004.02.004 · Cited by 316
Layered representations for human activity recognition
Oliver, N., Horvitz, E., & Garg, A. (2003) · Proceedings. Fourth IEEE International Conference on Multimodal Interfaces · doi:10.1109/icmi.2002.1166960 · Cited by 312
Activity recognition from on-body sensors by classifier fusion: sensor scalability and robustness
Zappi, P., Stiefmeier, T., Farella, E., Roggen, D., Benini, L., & Troster, G. (2007) · 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information · doi:10.1109/issnip.2007.4496857 · Cited by 126
Kishore, P. V. V., Prasad, M. V. D., Kumar, D. A., & Sastry, A. S. C. S. (2016) · 2016 IEEE 6th International Conference on Advanced Computing (IACC) · doi:10.1109/iacc.2016.71 · Cited by 48
Why is Accessibility So Hard? Insights From the History of Privacy
Tang, X. (2024) · Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing · doi:10.1145/3678884.3681876 · Cited by 3
Metadata
- Authors
- Starner, T., & Pentland, A.
- Venue
- Proceedings of International Symposium on Computer Vision - ISCV
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2002-11-19
- Pages
- 265-270
- OpenAlex
- W2157548127
- Cited by
- 773
- References
- 3
- FWCI
- 28.31
- Type
- conference paper
- Language
- en
- Open access
- closed
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