Assess autism level while playing games

Autism is a learning disorder falling in the ADHD (Attention Deficit Hyperactivity Disorder) spectrum, varying from being slightly autistic to severe. The level of autism is judged by a special educator after close examination of the child's activities. This paper presents an algorithm that can automate this assessing procedure. While a game is being played the activity pattern of the player is captured in the background. This is interpreted into parameters that define the player's motor skills, cognitive power and anxiety level. Together they are analyzed and the player's level of autism is calculated using fuzzy logic. These parameters can be refined using an unsupervised learning algorithm to render more accurate results.