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Sensors 2017, 17(1), 46; doi:10.3390/s17010046

Sensing Technologies for Autism Spectrum Disorder Screening and Intervention

1
Mechanical and Industrial Engineering Department, Qatar University, Doha 2713, Qatar
2
Biomedical Engineering Department, George Washington University, Washington, DC 20052, USA
3
Center for Pediatric Neurology, Cleveland Clinic, and Case Western Reserve University, Cleveland, OH 44106, USA
4
Center for Autism Pediatric Institute, Cleveland Clinic and Cleveland Clinic Lerner College of Medicine, Cleveland, OH 44195, USA
5
Al Jalila Children’s Specialty Hospital, Dubai, United Arab Emirates
Current address: College of Engineering, Qatar University, Doha 2713, Qatar
*
Author to whom correspondence should be addressed.
Academic Editors: Octavian Adrian Postolache, Alex Casson and Subhas Chandra Mukhopadhyay
Received: 3 August 2016 / Revised: 15 December 2016 / Accepted: 16 December 2016 / Published: 27 December 2016
(This article belongs to the Special Issue Sensing Technology for Healthcare System)
View Full-Text   |   Download PDF [17523 KB, uploaded 27 December 2016]   |  

Abstract

This paper reviews the state-of-the-art in sensing technologies that are relevant for Autism Spectrum Disorder (ASD) screening and therapy. This disorder is characterized by difficulties in social communication, social interactions, and repetitive behaviors. It is diagnosed during the first three years of life. Early and intensive interventions have been shown to improve the developmental trajectory of the affected children. The earlier the diagnosis, the sooner the intervention therapy can begin, thus, making early diagnosis an important research goal. Technological innovations have tremendous potential to assist with early diagnosis and improve intervention programs. The need for careful and methodological evaluation of such emerging technologies becomes important in order to assist not only the therapists and clinicians in their selection of suitable tools, but to also guide the developers of the technologies in improving hardware and software. In this paper, we survey the literatures on sensing technologies for ASD and we categorize them into eye trackers, movement trackers, electrodermal activity monitors, tactile sensors, vocal prosody and speech detectors, and sleep quality assessment devices. We assess their effectiveness and study their limitations. We also examine the challenges faced by this growing field that need to be addressed before these technologies can perform up to their theoretical potential. View Full-Text
Keywords: Autism Spectrum Disorder; eye trackers; movement trackers; electrodermal activity monitors; prosody and speech detectors; tactile sensing; social robotics; sleep quality assessment Autism Spectrum Disorder; eye trackers; movement trackers; electrodermal activity monitors; prosody and speech detectors; tactile sensing; social robotics; sleep quality assessment
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cabibihan, J.-J.; Javed, H.; Aldosari, M.; Frazier, T.W.; Elbashir, H. Sensing Technologies for Autism Spectrum Disorder Screening and Intervention. Sensors 2017, 17, 46.

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