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

Khullar, Vikas; Singh, Harjit; Bala, Manju

doi:10.1016/j.ajp.2019.09.030

Cited by 21 publications

(13 citation statements)

References 42 publications

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“…IoT is usually represented as a key part of the future Internet and radio frequency identification (RFID) tags and is used to identify objects uniquely, for determining the location and sensing changes in physical data, which is used later for communicating with the intended receiver [ 28 ]. The interactions with autistic children are considered as one of the most difficult and challenging problems which their families and caregivers deal with.…”

Section: Methodsmentioning

confidence: 99%

“…The purpose of detecting the interaction between the autistic children provided the sensor framework comprises of sensor badges worn by child and teacher participants in the pockets of the customized T-shirt. In [ 28 ], the authors proposed an assistive involvement for supporting the overloaded sensory responses in individuals with ASD, namely, Assistive Companion for Hypersensitive Individuals (ACHI). Also, the ACHI technology can help the autistic children to become calm.…”

Section: Related Workmentioning

confidence: 99%

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An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders

Hameed¹,

Hassaballah

Hosney³

et al. 2022

Computational Intelligence and Neuroscience

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Smart monitoring and assisted living systems for cognitive health assessment play a central role in assessment of individuals’ health conditions. Autistic children suffer from some difficulties including social skills, repetitive behaviors, speech and nonverbal communication, and accommodating to the environment around them. Thus, dealing with autistic children is a serious public health problem as it is hard to determine what they feel with a lack of emotional cognitive ability. Currently, no medical treatments have been shown to cure autistic children, with most of the social assistive research to date focusing on Autism Spectrum Disorder (ASD) without suggesting a real treatment. In this paper, we focus on improving cognitive ability and daily living skills and maximizing the ability of the autistic child to function and participate positively in the community. Through utilizing intelligent systems based Artificial Intelligence (AI) and Internet of Things (IoT) technologies, we facilitate the process of adaptation to the world around the autistic children. To this end, we propose an AI-enabled IoT system embodied in a sensor for measuring the heart rate to predict the state of the child and then sending the state to the guardian with feeling and expected behavior of the child via a mobile application. Further, the system can provide a new virtual environment to help the child to be capable of improving eye contact with other people. This way is represented in pictures of these persons in 3D models that break this child’s fear barrier. The system follows strategies that have focused on social communication skill development particularly at young ages to be more interactive with others.

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Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders

Hameed¹,

Hassaballah

Hosney³

et al. 2022

Computational Intelligence and Neuroscience

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“…Seven of the 11 studies targeting children were related to neurodevelopmental disorders (NDD), 21 22 23 24 25 26 27 two were motor development and ability studies, 28 29 and two were environmental exposure studies. 30 31 Most of the study subjects were patients with the targeted disease.…”

Section: Resultsmentioning

confidence: 99%

“…These studies used wearable and other types of devices. Caldani, et al, 22 Chu, et al, 23 Ness, et al, 27 and Khullar, et al 24 all used wearable devices. In the studies in which the measurement devices were directly attached to the body, vestibulo-ocular reflex, attention, biomarkers such as meditation, activity, eye tracking parameters, EEG activity, and ECG were measured.…”

Section: Resultsmentioning

confidence: 99%

“…The reviewed articles had various purposes such as health changes after disease, health effects due to environmental exposure, disease/disability/depression diagnosis, and health promotion. ECG was measured for all targets, but it was measured only when the purpose was “diagnosis.” 17 18 19 20 22 23 24 27 34 37 43 44 …”

Section: Discussionmentioning

confidence: 99%

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

Park

Hong

et al. 2022

Yonsei Med J

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Purpose The study aimed to identify which digital biomarkers are collected and which specific devices are used according to vulnerable and susceptible individual characteristics in a living-lab setting. Materials and Methods A literature search, screening, and appraisal process was implemented using the Web of Science, Pubmed, and Embase databases. The search query included a combination of terms related to “digital biomarkers,” “devices that collect digital biomarkers,” and “vulnerable and susceptible groups.” After the screening and appraisal process, a total of 37 relevant articles were obtained. Results In elderly people, the main digital biomarkers measured were values related to physical activity. Most of the studies used sensors. The articles targeting children aimed to predict diseases, and most of them used devices that are simple and can induce some interest, such as wearable device-based smart toys. In those who were disabled, digital biomarkers that measured location-based movement for the purpose of diagnosing disabilities were widely used, and most were measured by easy-to-use devices that did not require detailed explanations. In the disadvantaged, digital biomarkers related to health promotion were measured, and various wearable devices, such as smart bands and headbands were used depending on the purpose and target. Conclusion As the digital biomarkers and devices that collect them vary depending on the characteristics of study subjects, researchers should pay attention not only to the purpose of the study but also the characteristics of study subjects when collecting and analyzing digital biomarkers from living labs.

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A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence

et al. 2020

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

Cited by 21 publications

References 42 publications

An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders

An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders

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

A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence

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