Behavior-based Risk Detection of Autism Spectrum Disorder Through Child-Robot Interaction
Author:
Affiliation:
1. George Washington University, Washington, DC, USA
Funder
NIH (NICHD)
NSF (CBET)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3371382.3378382
Reference11 articles.
1. Use of machine learning to shorten observation-based screening and diagnosis of autism
2. Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning
3. Identification of autism spectrum disorder using deep learning and the ABIDE dataset
4. Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities
5. Javed Hifza Rachael Burns Myounghoon Jeon Ayanna M. Howard and Chung Hyuk Park. "An Interactive Robotic Framework to Facilitate Sensory Experiences for Children with ASD." arXiv preprint arXiv:1901.00885 (2019). Javed Hifza Rachael Burns Myounghoon Jeon Ayanna M. Howard and Chung Hyuk Park. "An Interactive Robotic Framework to Facilitate Sensory Experiences for Children with ASD." arXiv preprint arXiv:1901.00885 (2019).
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