Referenced Items are not available for this document.
Several machine learning techniques are used to model the behavior of children with autism interacting with a humanoid robot, comparing a static model to a dynamic model using hand-coded features. Good accuracy (over 80%) is achieved in predicting child vocalizations; directions for future approaches to modeling the behavior of children with autism are suggested.
Published in:
Human-Robot Interaction (HRI), 2011 6th ACM/IEEE International Conference on
Date of Conference: 8-11 March 2011
- Page(s):
- 251 - 252
- ISSN :
- 2167-2121
- E-ISBN :
- 978-1-4503-0561-7
- Print ISBN:
- 978-1-4673-4393-0
- INSPEC Accession Number:
- 12964005
- Conference Location :
- Lausanne
- Product Type:
- Conference Publications
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