Development of sEMG-based robust oral motion classification method and its application to electric wheelchair operation

Author:

NAKAI Yukiya1,SASAKI Makoto1,KAMATA Katsuhiro1,NAKAYAMA Atsushi2

Affiliation:

1. Graduate School of Engineering, Iwate University

2. Department of Engineering for Future Innovation, National Institute of Technology, Ichinoseki College

Publisher

Japan Society of Mechanical Engineers

Subject

General Medicine

Reference18 articles.

1. Clayton, C., Platts, R.G.S., Steinberg, M. and Hennequin, J.R. Palatal tongue controller, Journal of Microcomputer Applications, Vol.15 (1992), pp.9-12.

2. Eid, M.A., Giakoumidis, N. and Saddik, A.E., A novel eye-gaze-controlled wheelchair system for navigating unknown environments: case study with a person with ALS, IEEE Access, Vol.4 (2016), pp.558-873.

3. Englehart, K., Hudgins, B. and Parker, P.A., A wavelet-based continuous classification scheme for multifunction myoelectric control, IEEE Transactions on Biomedical Engineering, Vol.48, No.3 (2001), pp.302–311.

4. Ghovanloo, M., Tongue operated assistive technologies. Proceedings of the IEEE 29th engineering medicine biology conference (2007), pp.4376–4379.

5. Hsu, C.W., Chang, C.C. and Lin, C.J., A Practical guide to support vector classification (2016), https://www.csie.ntu.edu.tw/~cjlin/ (accessed 2019-2-28)

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