A Review of Early Detection of Autism Based on Eye-Tracking and Sensing Technology

The current paper is a review of eye-tracking and sensing technologies that detect and monitor Autism Spectrum Disorder (ASD). Nowadays, the biggest challenge is the detection of autism before the age of 36 months. The diagnosis of autism in the early stage of life can help autistic children improve their social communication and quality of life. Therefore, the technology can support psychologists to get the right diagnoses of autism and accordingly the autistic children can get appropriate treatment for their condition. In this review, the focus is on eyetracking and sensing technologies. The autistic children have different attentional biases in social interactions that can be measured by eye-tracking technology. Moreover, the autistic children have some signs that can be easily detected by using the sensing technology such as hand flapping, body rocking and motion trackers.