Brain-Based Binary Communication Using Spatiotemporal Features of fNIRS Responses
“Locked-in” patients lose their ability to communicate naturally due to motor system dysfunction. Brain-computer interfacing offers a solution for their inability to communicate by enabling motor-independent communication. Straightforward and convenient in-session communication is essential in clini...
Main Authors: | Laurien Nagels-Coune, Amaia Benitez-Andonegui, Niels Reuter, Michael Lührs, Rainer Goebel, Peter De Weerd, Lars Riecke, Bettina Sorger |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-04-01
|
Series: | Frontiers in Human Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fnhum.2020.00113/full |
Similar Items
-
See, Hear, or Feel – to Speak: A Versatile Multiple-Choice Functional Near-Infrared Spectroscopy-Brain-Computer Interface Feasible With Visual, Auditory, or Tactile Instructions
by: Laurien Nagels-Coune, et al.
Published: (2021-11-01) -
An Augmented-Reality fNIRS-Based Brain-Computer Interface: A Proof-of-Concept Study
by: Amaia Benitez-Andonegui, et al.
Published: (2020-04-01) -
Metaheuristic Optimization-Based Feature Selection for Imagery and Arithmetic Tasks: An fNIRS Study
by: Amad Zafar, et al.
Published: (2023-04-01) -
Improved dilation CapsuleNet for motor imagery and mental arithmetic classification based on fNIRS
by: Yu Li, et al.
Published: (2024-12-01) -
Early-stage fusion of EEG and fNIRS improves classification of motor imagery
by: Yang Li, et al.
Published: (2023-01-01)