Journal article Open Access

A Systematic Analysis of Detection of Autism Spectrum Disorder: IOT Perspective

Ms. Narinder Kaur; Dr. Amandeep Kaur; Ms. Neha Dhiman; Ms. Anupam Sharma; Mrs. Rupika Rana

Sponsor(s)
Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)

: Purpose: Research interest in Internet of things (IOT) and autism spectrum disorder (ASD) has grown. In this literature, we will discuss how computer technologies can recover the life value of the people with the Autism. There is a requirement to analyze the literature to let computer technologies reflect their applicability. The literature target was to study nature and results of studies probing IOT valuation in ASD.Technique: A systematic examination of the different literature was carried out, in which 7 studies are matched with an inclusion criteria. Information was taken out by authors from every involved article, containing characteristics of the participant, use of technology, actions and reported results. Superiority literature of all the articles was carried out.Result: The 284 participants with autism spectrum disorder across the 7 involved studies include the participant with the age from 6 months to middle age. The quality of the studies varied. A variety of services were delivered via IOT, including diagnostic assessment and early detection. Results suggested that services delivered through various internets of things were equal to services provided face to face, and higher to human techniques. Conclusion: The suggested outcomes might be a sequence of benefits with the use of internet of things with individuals suffering from ASD, their families, and trainers. Additional research is essential mainly regarding the usage of IOT openly with kids with ASD for the assessment and involvement

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