A Systematic Analysis of Detection of Autism Spectrum Disorder: IOT Perspective
Narinder Kaur1, Amandeep Kaur2, Neha Dhiman3, Anupam Sharma4, Rupika Rana5
1Ms. Narinder Kaur*, PhD Scholar, Chandigarh Univversity, Punjab, India.
2Dr. Amandeep Kaur, Computer Science and Engineering, Punjabi University Patiala, Punjab, India.
3Ms. Neha Dhiman, Assistant Professor, Department of Computer Science and Engineering, CGC, Punjab, India.
4Ms. Anupam Sharma, Assistant Professor, in computer science and engineering CGC Jhanjeri, Punjab, India.
5Mrs. Rupika Rana, Assistant Professor, CGC Jhanjeri, Punjab, India.
Manuscript received on April 04, 2020. | Revised Manuscript received on April 11, 2020. | Manuscript published on April 15, 2020. | PP: 10-13 | Volume-6, Issue-6, April 2020. | Retrieval Number: F1219046620/2019©BEIESP | DOI: 10.35940/ijisme.F1219.046620
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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. 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. 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. 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.
Keywords: ASD, autism spectrum disorder, IOT, Internet of things, detection.