Hybrid EEG–fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control

• Published in: Frontiers in neurorobotics Vol. 11; p. 6
• Main Authors: Khan, Muhammad Jawad, Hong, Keum-Shik
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 17.02.2017; Frontiers Media S.A
• Subjects: Accuracy; Brain; Brain research; Classification; Computer applications; Cortex (frontal); Cortex (parietal); EEG; Electroencephalography; Eye; Eye movements; Implants; Infrared spectroscopy; Mathematics; Mental task performance; Neuroscience; Prefrontal cortex; Principal components analysis; Prostheses; Spectrum analysis; Visual cortex; South Korea; quadcopter control; brain–computer interface; classification; hybrid EEG–fNIRS; mental task

In this paper, a hybrid electroencephalography-functional near-infrared spectroscopy (EEG-fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain-computer interface is presented. A total of eight commands are decoded by fNIRS, as positioned on the prefrontal corte...