Algorithm 1. CAES in real time settings

Begin Step 1. user login to the system Step 2. establishing a device connection using EDK Step 3. Repeat Step 4.  acquiring brain signals Step 5.  user has to select either ExpressiveMode or TrainingMode Step 6.  if ExpressiveMode equals to true Step 7.    extract raw signals Step 8.    applying frequency filters Step 9.    extract Hjorth features from all signals Step 10.   calling classification module for emotion detection Step 11.   rendering the emotions avatar Step 12.   displaying instructions of treatment according to subject condition Step 13.  end Step 14.  if TrainingMode equals to true Step 15.   start emotion based simulation Step 16.   recording of brain signals Step 17.   if Simulation equals to end Step 18.    building a classification model using WEKA library Step 19.    store classification model into database Step 20.   endif Step 21.  endif Step 22. until stop

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