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
fDate :
Aug. 28 2012-Sept. 1 2012
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346250