Simple Glove-Based Korean Finger Spelling Recognition System

Author:

Min Seungki,Oh Sanghyeok,Kim Gyoryeong,Yoon Taehyun,Lim Chungyu,Lee Yunli,Jung Keechul

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Song, H.-S., Chang, S.-J., Shin, B.-J., Yang, Y.-M.: Sign-Language Recognition using the Information of Hand Shape and Moving Direction. Journal of The Korea Information Science Society 26(6), 804–810 (1999)

2. Oz, C., Leu, M.C.: Recognition of Finger Spelling of American Sign Language with Artificial Neural Network Using Position/Orientation Sensors and Data Glove. ISNN (2005)

3. Hernandez-Rebollar, J.L., Lindeman, R.W., Kyriakopoulos, N.: A Multi-Class Pattern Recognition System for Practical Finger Spelling Translation. In: Fourth IEEE International Conference on Multimodal Interfaces (ICMI’02), pp. 185–190. IEEE Computer Society Press, Los Alamitos (2002)

4. Liang, R.H., Ouhyoung, M.: A Real-time Continuous Gesture Recognition System for Sign Language. In: Automatic Face and Gesture Recognition, pp. 558–567. IEEE, Los Alamitos (1998)

5. Lee, C.-S., Park, G.-T., Kim, J.-S.: Real-time Recognition System of Korean Sign Language based on Elementary Components. In: Proceedings of the Sixth IEEE International Conference on Fuzzy Systems, Spain, IEEE, Los Alamitos (1997)

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