A Study of the Electric Wheelchair Hands-Free Safety Control System Using the Surface-Electromygram of Facial Muscles

Author:

Tamura Hiroki,Manabe Takao,Goto Takafumi,Yamashita Yuki,Tanno Koichi

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Tomohiro, K., Tadashi, M., Tohru, K., Tsugutake, S.: Practical Usage of Surface Electromyogram, Biomechanism Library (2006)

2. Assareh, A., Konjkav, S., Fallah, A., Firoozabadi, S.M.P.: A New Approach for Navigating Automatic Wheelchairs using EMG signals Feature Extraction and Classification with an Adaptive Controller. In: Proc. The 12th International Conference on Biomedical Engineering, Singapore (December 2005)

3. Firoozabadi, S.M.P., Asghari Oskoei, M., Hu, H.: A Human-Computer Interface based on Forehead Multi-channel Bio-signals to control a virtual wheelchair. In: Proceedings of the 14th Iranian Conference on Biomedical Engineering (ICBME), pp. 272–277. Shahed University, Iran (February 2008)

4. Tamura, H., Okumura, D., Tanno, K.: A Study of Motion Recognition without FFT from Surface-EMG. The Journal of IEICE D J90-D(9), 2652–2655 (2007)

5. Okumura, D., Tamura, H., Tanno, K.: Proposal of the Motion Recognition system corresponding Sarface-EMG changes. In: Proceedings of Forum on Information Technology, FIT 2007, pp. G-022 (2007) (Japanese)

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