Abstract:
The understanding of human emotions for developing applications is new avenue in human
computer interface. In Sri Lankan context military troops and other individuals involved in war
are generally suffering from post-war negative mental conditions. Although different types of
rehabilitation programs are being conducted currently, Brain Computer Interface technology,
which was at first used for disabled people, is today used for entertainment, memory capacity
improvement, brain activity development of healthy people. Gaming is one application of this
concept. Thus, Brain Computer Interface technology could be effectively utilized in the process
of mental rehabilitation for war-affected armed forces and individuals with emotional control
disabilities. In this research, we separate one emotion and use as a parameter which represented
in the game. This separated parameter is not merely parameters but which logically connects
with the real-life characteristics, which will assist the subjects to control emotion in critical
situations. By practicing this game, subjects will be trained to eliminate negative emotions. Detection of emotions during gaming is the basic concept behind the mechanism. There is the use
of emotion for therapeutic aspects and training elimination of negative emotions though BCI
game has never been done before. Therefore, the previous literature available is relatively less
in this area. In this research, we focus on identifying human emotion, anger as the negative
emotion with wireless 16 biosensor EEG head set and use anger driven game for monitoring the
ability to self-control the emotion; furthermore, statistically comparison is done between efficiency of detecting anger and relatively low electrode number and a few features. In this paper,
it is discussed how anger can be separated from other closely coupled emotions like frustration
and sadness. The results will conclude the best feature excretion method for emotion separation and best combination of electrodes for emotion anger. Finally, we statistically analyse the
effectiveness of real time EEG based Game which will help people identify negative emotions
as quickly as possible when it occurs, and train them to eliminate such blocking emotions and
possibility to use this as a tool to help patients effectively.
