Sensor-enabled detection of stereotypical motor movements in persons with autism spectrum disorder

Authors:
Matthew S. Goodwin;Stephen S. Intille;Wayne F. Velicer;June Groden
Affiliations:
The Groden Center, Inc., Providence, RI;Cambridge, MA;University of Rhode Island, Kingston, RI;The Groden Center, Inc., Providence, RI
Venue:
IDC '08 Proceedings of the 7th international conference on Interaction design and children
Year:
2008

Citing 1
Cited 1

Recognizing Mimicked Autistic Self-Stimulatory Behaviors Using HMMs

ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers

Understanding the challenges and opportunities for richer descriptions of stereotypical behaviors of children with asd: a concept exploration and validation

Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility

Quantified Score

Hi-index	0.00

Visualization

Abstract

Stereotypical motor movements are one of the most common and least understood behaviors occurring in individuals with Autism Spectrum Disorder (ASD). Problems with traditional methods for measuring movement stereotypy make it difficult to accurately determine when and why these behaviors occur. The current research overcomes previous measurement problems by utilizing wireless accelerometers and pattern recognition software to automatically and reliably detect stereotypical motor movements such as body rocking and hand flapping in children with ASD.