Man-Machine Interaction System for Subject Independent Sign Language Recognition

Author:

Darwish Saad M.1

Affiliation:

1. Department of Information Technology, Institute of Graduate Studies & Research, Alexandria University, Alexandria, Egypt

Publisher

ACM Press

Reference20 articles.

1. Ong, S., and Ranganath, S. 2005. Automatic sign language analysis: a survey and the future beyond lexical meaning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 7, 6(Jun. 2005), 873--891. DOI=10.1109/TPAMI.2005.112.

2. Su, M. 2000. A fuzzy rule-based approach to spatio-temporal hand gesture recognition. IEEE Transactions on Systems, Man and Cybernetics, 30, 2 (May 2000), 276--281. DOI=10.1109/5326.868448.

3. Rekha, J., Bhattacharya, J., and Majumder, S. 2011. Hand gesture recognition for sign language: a new hybrid approach. In Proceedings of the International Conference on Image Processing, Computer Vision and Pattern Recognition (USA, 2011), 1--7. DOI= 10.1.1.217.9421.

4. Doliotis, P., Athitsos, V., and Perantonis, S. 2012. Hand shape and 3D pose estimation using depth data from a single cluttered frame. In Proceedings of the International Symposium on Advances in Visual Computing (Greece, 2012), 148--158. DOI= 10.1007/978-3-642-33179-4_15.

5. Athitsos, V., and Sclaroff, S. 2003. Estimating 3d hand pose from a cluttered image. In Proceeding of the IEEE International Conferences on Computer Vision and Pattern Recognition (USA, 2003), 1--8. DOI= 10.1.1.14.262.

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