Cargando…
Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface
Motor-imagery tasks are a popular input method for controlling brain-computer interfaces (BCIs), partially due to their similarities to naturally produced motor signals. The use of functional near-infrared spectroscopy (fNIRS) in BCIs is still emerging and has shown potential as a supplement or repl...
Autores principales: | Batula, Alyssa M., Kim, Youngmoo E., Ayaz, Hasan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539938/ https://www.ncbi.nlm.nih.gov/pubmed/28804712 http://dx.doi.org/10.1155/2017/1463512 |
Ejemplares similares
-
Comparison of Brain Activation during Motor Imagery and Motor Movement Using fNIRS
por: Batula, Alyssa M., et al.
Publicado: (2017) -
Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback
por: Daeglau, Mareike, et al.
Publicado: (2020) -
Introduction to humanoid robotics
por: Kajita, Shuuji, et al.
Publicado: (2014) -
Multi-Class Motor Imagery EEG Decoding for Brain-Computer Interfaces
por: Wang, Deng, et al.
Publicado: (2012) -
Generating Pointing Motions for a Humanoid Robot by Combining Motor Primitives
por: Tieck, J. Camilo Vasquez, et al.
Publicado: (2019)