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Automations in the Screening of Autism Spectrum Disorder

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  • Chakor Pandkar

    (Maharashtra Institute of Technology, Pune, Maharashtra, India)

  • Rakshit Pensalwar

    (Maharashtra Institute of Technology, Pune, Maharashtra, India)

  • Anshuman Chakravarty

    (Maharashtra Institute of Technology, Pune, Maharashtra, India)

  • Aditya Bhairavkar

    (Maharashtra Institute of Technology, Pune, Maharashtra, India)

Abstract

The Autism Spectrum Disorder (ASD) is known to be characterized by decreased social interactions to stimuli, diffculties in communication, repetitive behaviors and physical movements. Since it affects different individuals differently and to different extents, it is very challenging to diagnose and differentiate from other neurodevelopmental disorders. Research shows that early intervention can be very bene cial in the long term as the affected individuals' symptoms can be reduced to a great extent , but the lack of awareness and objective diagnostic tools makes it diffcult to diagnose at an early age. In this paper we explore the various innovations made in automating the screening process by listing the demerits of the subjective existing diagnosis systems and also surveys and complies the various eye gazing, voice prosody, wearable IoT modules, their contributions and their impacts in making the diagnosis process of Autism Spectral Disorder more objective and efficient.

Suggested Citation

  • Chakor Pandkar & Rakshit Pensalwar & Anshuman Chakravarty & Aditya Bhairavkar, 2020. "Automations in the Screening of Autism Spectrum Disorder," Technium, Technium Science, vol. 2(5), pages 123-131, July.
    • Handle: RePEc:tec:techni:ojs:1136
    DOI: 10.47577/technium.v2i5.1136
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