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abstract

Detecting hunchback behavior in autistic children with smart phone assistive devices

Published:22 October 2012Publication History

ABSTRACT

The research target in this case study was an autistic student at a special education school, who often unconsciously became hunchbacked during group activities or when not talking to people. We designed a system for hunchback detection using smart phone. Combined with an assistive T-shirt, the system could detect whether his/her back was hunched. Through this demonstration, we showcased the potential of using smart phones to develop simpler and more effective assistive devices for people with disabilities.

References

  1. Yao-Jen Chang, Shu-Fang Chen, Zhi-Zhan Lu An Accelerometer-based Handheld System to Reduce Breaks in Performance of Young Adults with Cognitive Impairments, Research in Developmental Disabilities, Vol. 32, Iss. 6, 201 pp. 2530--2534.Google ScholarGoogle ScholarCross RefCross Ref

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  1. Detecting hunchback behavior in autistic children with smart phone assistive devices

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              cover image ACM Conferences
              ASSETS '12: Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility
              October 2012
              321 pages
              ISBN:9781450313216
              DOI:10.1145/2384916

              Copyright © 2012 Author

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 22 October 2012

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              Overall Acceptance Rate436of1,556submissions,28%

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