Machine-learning approaches for recognizing muscle activities involved in facial expressions captured by multi-channels surface electromyogram-Reference-Cited by-同舟云学术

Machine-learning approaches for recognizing muscle activities involved in facial expressions captured by multi-channels surface electromyogram

Published:2018-01 Issue: Volume:5-6 Page:15-25
ISSN:2352-6483
Container-title:Smart Health
language:en
Short-container-title:Smart Health

Author:

Cai Yi,Guo Yifan,Jiang Haotian,Huang Ming-Chun

Publisher

Elsevier BV

Subject

Health Information Management,Computer Science Applications,Health Informatics,Information Systems,Medicine (miscellaneous)

Reference40 articles.

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2. Bogart, K. Facial expressions are key to first impressions. what does that mean for people with facial paralysis?

3. Boot, L., (2009). Facial expressions in eeg/emg recordings, Master’s thesis, University of Twente.

4. Broomhead, D. S., & Lowe, D., (1988) Radial basis functions, multi-variable functional interpolation and adaptive networks. Tech. rep., Royal Signals and Radar Establishment Malvern (United Kingdom).

5. Chibelushi, C. C., & Bourel, F. Facial expression recognition: A brief tutorial overview. CVonline: On-Line Compendium of Computer Vision 9.

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