Development of personal imaging brain-computer interface through measuring cerebral response to an interesting visual stimulus

Abstract

Various studies are taking place to record the interesting moments in an everyday life. The earlier studies can be divided into two; the researches where after recording all the scenes in an everyday life, obtain the wanted scenes by searching the recorded data, and the researches which choose and record from the beginning, only those images which are regarded as significant. This research is a series of the latter one, and focused on the fact that the existing researches cannot detect directly the interest of people and just analogize the interest of the subject by grasping the peripheral cues. To overcome this weakness, I intended to detect directly the interest to particular visual stimuli, and develop a personal imaging Brain-Computer Interface, which selects and records only the relevant scenes. In this research, I could verify that the visual stimuli to which the individual felt interest produced bigger brain wave amplitude in 260~309 ms after showing visual stimuli (P300) than that which the subject did not feel interest. As a result, I could define the particular brain wave pattern produced by interesting visual stimulus. Next, based on the definition of the particular brain wave pattern to the interesting visual stimulus, I developed a ‘3 channel single-trial interest detecting algorithm’. Lastly, at the moment when the ‘defined brain wave’ is detected, using the developed algorithm, I implemented a personal imaging Brain-Computer Interface which takes pictures of the interested scenes. By conducting the performance test of the implemented system, I could identify an average of 41.3% interest detection success percentage from the 2 subjects.