Literature DB >> 31639556

IoT based assistive companion for hypersensitive individuals (ACHI) with autism spectrum disorder.

Vikas Khullar1, Harjit Pal Singh2, Manju Bala3.   

Abstract

OBJECTIVE: Today, most of the individuals with Autism Spectrum Disorders (ASD) have atypical sensory behaviors. The main aim of this study is to propose an assistive intervention for supporting the overloaded sensory responses in hypersensitive individuals with ASD.
METHODS: The vision, auditory, smell, and physical balance related multi-sensors based hardware prototype, namely Assistive Companion for Hypersensitive Individuals (ACHI) has been designed for individuals with ASD. The proposed ACHI prototype is an assistive-technology based companion for hypersensitive individuals with ASD which is able to 'fetch/detect the sensory information using electronic sensors', 'making the decision using fuzzy logic on the basis of fetched sensory information' and then, 'transmit the generated information over the internet through the Internet of Things (IoT)', and also able for 'generating alerts to caregivers'. The proposed design is also capable of providing audio & video feedback to calm down individuals with ASD.
RESULTS: After testing, it is observed that 93% percent of the caregivers rated the proposed ACHI intervention on the scale of above average. The remarkable reduction in hyperactive states related triggering incidents in ASD has been found with the use of ACHI.
CONCLUSION: The present work and the proposed prototype can identify and control the sensory overload triggers in ASD and it can guide the caregiver or clinicians to optimize the responsible surrounding causes of explosive behavior in ASD and would help the individuals with ASD to become calm.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Assistive technologies; Autism spectrum disorder; Fuzzy inference system; Hypersensitive individuals; Internet of things

Mesh:

Year:  2019        PMID: 31639556     DOI: 10.1016/j.ajp.2019.09.030

Source DB:  PubMed          Journal:  Asian J Psychiatr        ISSN: 1876-2018


  3 in total

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2.  A Sensor and Machine Learning-Based Sensory Management Recommendation System for Children with Autism Spectrum Disorders.

Authors:  Lingling Deng; Prapa Rattadilok
Journal:  Sensors (Basel)       Date:  2022-08-03       Impact factor: 3.847

Review 3.  Digital Biomarkers in Living Labs for Vulnerable and Susceptible Individuals: An Integrative Literature Review.

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Journal:  Yonsei Med J       Date:  2022-01       Impact factor: 2.759

  3 in total

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