Sign Language Recognition Using Cluster and Chunk-Based Feature Extraction and Symbolic Representation

Author:

Nagendraswamy H. S.,Zaboli Syroos

Publisher

Springer Singapore

Reference33 articles.

1. W.H.O. World Health Organization. Prevention of blindness and deafness (2018). https://www.who.int/pbd/deafness/estimates/en/

2. Ramakant.,e-Karishma, N., Veerapalli, L.: Sign language recognition through fusion of 5DT data glove and camera-based information. In: Advance Computing Conference (IACC) (2015)

3. Gourley, C.: Neural Network Utilizing Posture Input for Sign Language Recognition. Technical report computer vision and robotics research laboratory, University of Tenessee (1994)

4. Holden, E.J., Lee, G., Owens, R.: Australian sign language recognition. Mach. Vis. Appl. 16(5), 312–320 (2005)

5. Handouyahia, M., Ziou, D., Wang, S.: Sign language recognition using moment-based size functions. In: visioninterface 1999, Trois-Rivieres, Canada (1999)

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