These deficits are generally common in all individuals but their appearance varies from individual to individual (Bekele, Wade, Bian, Fan, Swanson, Warren, & Sarkar, 2016). In addition, the attention deficits, imitation and perception deficits co-occur with the disorder. The reason for the same is that the neural networks of ASD individuals use different methodologies in monitoring the social information as compared to controls (Wang, Dapretto, Hariri, Sigman, & Bookheimer, 2004). The failure in maintaining proper eye contacts, recognizing vocal effects (Bekele, Wade, Bian, Fan, Swanson, Warren, & Sarkar, 2016), judging and reading other's facial expressions and intentions are the factors leading to poor interaction and communication in ASD (American Psychiatric Association, 2013). It occurs in the early developmental phase of an individual with the appearance of the spectrum of deficits which differentiates them from typically developed individuals. social interaction, communication, and restricted-repeated behaviors (Bölte & Hallmayer, 2011). ASD is a neuro-developmental disorder principally classified by impairments in the three core domains viz. Recently, International Clinical Epidemiology Network Trust (INCLEN) statistics reported that the number of Autism Spectrum Disorder (ASD) affected children has crossed 10 million in India or roughly it is 23 after 10,000 (Rudra, Belmonte, Soni, Banerjee, Mukerji, & Chakrabarti, 2017). These types of systems, if implemented, have the potential to assist clinicians for better ASD diagnosis and intervention approaches.
The assistance of new technologies into eye tracker system explored here can (1) detect gaze patterns and cognitive abilities of individuals at the single platform and (2) analyze eye movements and events automatically using deep learning system rather than manual interpretation of raw data. Another reason for non-availability is the limited number of methodologies which can meaningfully analyze gaze data.
The eye gaze deficits marked by eye trackers are the valid biomarkers of ASD, but the trackers are not clinically available.
The technology-based techniques, especially eye trackers, are shifting the traditional subjective approaches to objective, leading to early ASD screening and intervention. AbstractThe high prevalence of autism spectrum disorder (ASD) has provided a spectrum of diagnostic methodologies ranging from screening scales to technological techniques.