Role of Emotion Recognition in Computive Assistive Learning for Autistic Person

Objectives: Computer Assisted Learning (CAL) methods are extensively used to provide assistance to individual’s suffering from Autism Spectrum Disorder (ASD). Computer assisted technology has proved to be one of the powerful support tools to aid person suffering from cognitive disabilities to improve their daily life conditions. However, the individual’s suffering from Autism lack the ability to interpret emotions and hence are unable to respond to other person’s emotion. CAL techniquescan assist these individuals in improving their social behaviour. Method/Statistical Analysis: The statistical analysis has been performed that showsincrease in the count of individuals suffering from autism in recent years. To enhance the condition of such individual’s several CAL techniques have been implemented. This paper describes the analysis of varied CAL techniques implemented to improve the daily life conditions of such special people. Finding: The review combines the published documentation to explicate the benefits of implementing computer assisted learning (CAL) in the field of recognizing emotions and educating such special people about skills essential to perform daily life activities. Applications/Improvements: CAL techniques comprise of varied applications that emphasize on enhancing the communication, behavioural and social skills of such special children. However, person suffering from autism is unable to recognize emotions due to lack of social skills. Therefore, there is quintessential need of developing an efficient emotion recognition system for such special individuals.