Abstract
BCI (Brain Computer Interface) is a system that controls machines and devices by extracting neural information from human brain activity and inputting it to machines. This study use the BCI system to feedback the brain activity level to users so that they can control their brain activity easily, which is called neurofeedback(NFB). The NFB training is expected to be applied to mental healthcare. We developed portable NIRS-based BCI system for mental healthcare. The developed system can control a toy car and video game character for maintain motivation of NFB training. To evaluate effectiveness of the developed system, we conducted experiments of NFB training for three healthy participants and four ASD participants. We confirmed that the brain activity and the result of POMS (Profile of Mood States) were improved by the NFB training using the developed system. This result shows that the developed portable NIRS-based BCI is effective for mental healthcare.
