Sensing Technologies for Autism Spectrum Disorder Screening and Intervention
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 ye...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/17/1/46 |
| _version_ | 1817989021261889536 |
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| author | John-John Cabibihan Hifza Javed Mohammed Aldosari Thomas W. Frazier Haitham Elbashir |
| author_facet | John-John Cabibihan Hifza Javed Mohammed Aldosari Thomas W. Frazier Haitham Elbashir |
| author_sort | John-John Cabibihan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T00:41:04Z |
| format | Article |
| id | doaj.art-fe5528edbb624ae998508f23d834e3fd |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T00:41:04Z |
| publishDate | 2016-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-fe5528edbb624ae998508f23d834e3fd2022-12-22T02:22:11ZengMDPI AGSensors1424-82202016-12-011714610.3390/s17010046s17010046Sensing Technologies for Autism Spectrum Disorder Screening and InterventionJohn-John Cabibihan0Hifza Javed1Mohammed Aldosari2Thomas W. Frazier3Haitham Elbashir4Mechanical and Industrial Engineering Department, Qatar University, Doha 2713, QatarBiomedical Engineering Department, George Washington University, Washington, DC 20052, USACenter for Pediatric Neurology, Cleveland Clinic, and Case Western Reserve University, Cleveland, OH 44106, USACenter for Autism Pediatric Institute, Cleveland Clinic and Cleveland Clinic Lerner College of Medicine, Cleveland, OH 44195, USAAl Jalila Children’s Specialty Hospital, Dubai, United Arab EmiratesThis 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.http://www.mdpi.com/1424-8220/17/1/46Autism Spectrum Disordereye trackersmovement trackerselectrodermal activity monitorsprosody and speech detectorstactile sensingsocial roboticssleep quality assessment |
| spellingShingle | John-John Cabibihan Hifza Javed Mohammed Aldosari Thomas W. Frazier Haitham Elbashir Sensing Technologies for Autism Spectrum Disorder Screening and Intervention Sensors Autism Spectrum Disorder eye trackers movement trackers electrodermal activity monitors prosody and speech detectors tactile sensing social robotics sleep quality assessment |
| title | Sensing Technologies for Autism Spectrum Disorder Screening and Intervention |
| title_full | Sensing Technologies for Autism Spectrum Disorder Screening and Intervention |
| title_fullStr | Sensing Technologies for Autism Spectrum Disorder Screening and Intervention |
| title_full_unstemmed | Sensing Technologies for Autism Spectrum Disorder Screening and Intervention |
| title_short | Sensing Technologies for Autism Spectrum Disorder Screening and Intervention |
| title_sort | sensing technologies for autism spectrum disorder screening and intervention |
| topic | Autism Spectrum Disorder eye trackers movement trackers electrodermal activity monitors prosody and speech detectors tactile sensing social robotics sleep quality assessment |
| url | http://www.mdpi.com/1424-8220/17/1/46 |
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