Brain-Computer Interface (BCI) represents the communication between the brain and a computer that may be used to interpret the real-time activity of the brain through signal processing and machine learning. Such communication offers a great gamma of possibilities for the medical focused research, for example the development of prosthetics controlled by motor imagery, calibration of cochlear implants and communication improvement of patients with amyotrophic lateral sclerosis.
Given its great performance in the presence of muscles movements, the system portability and its ease of application, fNIRS presents itself as an optimal candidate to acquire the cortical brain signals as reliable and representative inputs for a Brain-Computer Interface investigation.
