  In a growing world of technology, psychological disorders became a challenge
to be solved. The methods used for cognitive stimulation are very conventional
and based on one-way communication, which only relies on the material or method
used for training of an individual. It doesn't use any kind of feedback from
the individual to analyze the progress of the training process. We have
proposed a closed-loop methodology to improve the cognitive state of a person
with ID (Intellectual disability). We have used a platform named 'Armoni', for
providing training to the intellectually disabled individuals. The learning is
performed in a closed-loop by using feedback in the form of change in affective
state. For feedback to the Armoni, an EEG (Electroencephalograph) headband is
used. All the changes in EEG are observed and classified against the change in
the mean and standard deviation value of all frequency bands of signal. This
comparison is being helpful in defining every activity with respect to change
in brain signals. In this paper, we have discussed the process of treatment of
EEG signal and its definition against the different activities of Armoni. We
have tested it on 6 different systems with different age groups and cognitive
levels.
