Cargando…
Effect of Age on Human–Computer Interface Control Via Neck Electromyography
The purpose of this study was to determine the effect of age on visuomotor tracking using submental and anterior neck surface electromyography (sEMG) to assess feasibility of computer control via neck musculature, which allows people with little remaining motor function to interact with computers. T...
Autores principales: | Hands, Gabrielle L., Stepp, Cara E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764133/ https://www.ncbi.nlm.nih.gov/pubmed/26924895 http://dx.doi.org/10.1093/iwc/iwu030 |
Ejemplares similares
-
Face-Computer Interface (FCI): Intent Recognition Based on Facial Electromyography (fEMG) and Online Human-Computer Interface With Audiovisual Feedback
por: Zhu, Bo, et al.
Publicado: (2021) -
A Novel Feature Optimization for Wearable Human-Computer Interfaces Using Surface Electromyography Sensors
por: Sun, Han, et al.
Publicado: (2018) -
Categorical Vowel Perception Enhances the Effectiveness and Generalization of Auditory Feedback in Human-Machine-Interfaces
por: Larson, Eric, et al.
Publicado: (2013) -
Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface
por: Nacpil, Edric John Cruz, et al.
Publicado: (2019) -
Detecting Nasal Vowels in Speech Interfaces Based on Surface Electromyography
por: Freitas, João, et al.
Publicado: (2015)