• DocumentCode
    2084642
  • Title

    Preliminary study on determining stereotypical motor movements

  • Author

    Goncalves, Nuno ; Rodrigues, J.L. ; Costa, Sandra ; Soares, Filomena

  • Author_Institution
    Univ. of Minho, Braga, Portugal
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    1598
  • Lastpage
    1601
  • Abstract
    Stereotypical motor movements are one of the most common and least understood behaviors occurring in individuals with Autism Spectrum Disorder (ASD). To overcome problems with traditional methods for measuring stereotypical motor movements in persons with ASD, the Kinect sensor from Microsoft and gesture recognition algorithms were used to automatically detect hand flapping. This study provides a valuable tool to monitor stereotypes in order to understand and to cope with this problem. At the end it facilitates to identify behavioral patterns especially relevant when studying interaction skills in children with ASD.
  • Keywords
    behavioural sciences; biomedical measurement; computer vision; gesture recognition; medical disorders; medical image processing; motion measurement; ASD children; Microsoft Kinect sensor; autism spectrum disorder; gesture recognition algorithms; hand flapping automatic detection; interaction skills; stereotypical motor movement determination; Autism; Educational institutions; Gesture recognition; Heuristic algorithms; Robot sensing systems; Variable speed drives; ASD; Kinect Sensor; Stereotypical motor movements; gesture recognition; Algorithms; Autistic Disorder; Behavioral Symptoms; Diagnosis, Computer-Assisted; Gestures; Hand; Humans; Image Processing, Computer-Assisted; Man-Machine Systems; Motor Activity; Pattern Recognition, Automated; Stereotyped Behavior; Video Recording;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6346250
  • Filename
    6346250