An Exploratory Model for Face Recognition Problem in Autism: An Artificial Neural Network Approach

Studies have shown that individuals with Autism Spectrum Disorder (ASD) tend to gaze aversion during social interaction. It also has been observed that autistic people have significant problems in performing social tasks, including face recognition. Researches emphasize the role of face gaze, especially visual communication in social interaction and learning. In this paper, we propose an Artificial Neural Network (ANN) to model the ASD’s deficiency in face recognition. We used Olivetti Research Laboratory (ORL) face database and chose pictures which fitted our desires. The ANN was trained and tested in three trial experiments; in the experiment ۱ (exp. ۱), we used pictures with up-masked faces (the upper half of the faces had been blurred) in order to model ASD’s face recognition problem, in the experiment ۲ (exp. ۲), pictures with normal pictures was used for simulation normal individuals’ face recognition; and in the experiment ۳ (exp. ۳), we used pictures with down-masked faces as a test group. Testing results show ۲۰.۰۰% error in the exp. ۱, ۴.۴۴% error in the exp. ۲, and ۱۰.۰۰% error in the exp. ۳. Based on these results, the proposed network emphasizes the face recognition problem in ASD as a result of eye contact aversion.

Keywords:

Autism , Face Recognition , Eye Contact , Artificial Neural Network