Vojtech et al., 2018 - Google Patents
Prediction of optimal facial electromyographic sensor configurations for human–machine interface controlVojtech et al., 2018
View PDF- Document ID
- 11123586213472291448
- Author
- Vojtech J
- Cler G
- Stepp C
- Publication year
- Publication venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
External Links
Snippet
Surface electromyography (sEMG) is a promising computer access method for individuals with motor impairments. However, optimal sensor placement is a tedious task requiring trial- and-error by an expert, particularly when recording from facial musculature likely to be …
- 230000001815 facial 0 title abstract description 30
Classifications
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- A61B5/0476—Electroencephalography
- A61B5/0484—Electroencephalography using evoked response
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- A—HUMAN NECESSITIES
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