Cargando…
Context-Based Filtering for Assisted Brain-Actuated Wheelchair Driving
Controlling a robotic device by using human brain signals is an interesting and challenging task. The device may be complicated to control and the nonstationary nature of the brain signals provides for a rather unstable input. With the use of intelligent processing algorithms adapted to the task at...
Autores principales: | Vanacker, Gerolf, Millán, José del R., Lew, Eileen, Ferrez, Pierre W., Moles, Ferran Galán, Philips, Johan, Van Brussel, Hendrik, Nuttin, Marnix |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267887/ https://www.ncbi.nlm.nih.gov/pubmed/18354739 http://dx.doi.org/10.1155/2007/25130 |
Ejemplares similares
-
Vibrotactile Feedback for Brain-Computer Interface Operation
por: Cincotti, Febo, et al.
Publicado: (2007) -
Towards BCI-actuated smart wheelchair system
por: Tang, Jingsheng, et al.
Publicado: (2018) -
A Driving Behaviour Model of Electrical Wheelchair Users
por: Onyango, S. O., et al.
Publicado: (2016) -
Improving Actuator Wearing Using Noise Filtering
por: Domański, Paweł D.
Publicado: (2022) -
Driving Interface Based on Tactile Sensors for Electric Wheelchairs or Trolleys
por: Trujillo-León, Andrés, et al.
Publicado: (2014)