Vision-Based Recognition of Fingerspelled Acronyms Using Hierarchical Temporal Memory

Author:

Kapuscinski Tomasz

Publisher

Springer Berlin Heidelberg

Reference10 articles.

1. Lecture Notes in Computer Science;C. Oz,2005

2. Tabata, Y., Kuroda, T.: Finger Spelling Recognition using Distinctive Features of Hand Shape. In: Proceedings of International Conference on Disability, Virtual Reality and Associated Technologies, pp. 287–292 (2008)

3. Shimada, M., Iwasaki, S., Asakura, T.: Finger Spelling Recognition using Neural Network with Pattern Recognition Model. In: SICE Annual Conference, pp. 2458–2463 (2003)

4. Lecture Notes in Artificial Intelligence;O. Altun,2006

5. Suraj, M.G., Guru, D.S.: Appearance Based Recognition Methodology for Recognising Fingerspelling Alphabets. In: International Joint Conference on Artificial Intelligence, pp. 605–610 (2007)

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