A situation-aware system for the detection of motion disorders of patients with Autism Spectrum Disorders

作者：

Highlights：

• This paper presents a method for the detection of the stereotyped motion disorders.

• The method adopts Artificial Intelligence techniques for the detection.

• The agents remove misclassification errors and improve the quality of the detection.

• The off-line classifier has shown an accuracy of over 99%; the on-line an accuracy of 92%.

• A prototype is deployed and tested at the hospital.

摘要

•This paper presents a method for the detection of the stereotyped motion disorders.•The method adopts Artificial Intelligence techniques for the detection.•The agents remove misclassification errors and improve the quality of the detection.•The off-line classifier has shown an accuracy of over 99%; the on-line an accuracy of 92%.•A prototype is deployed and tested at the hospital.

论文关键词：Artificial Intelligence,Human behavior recognition,Intelligent agents

论文评审过程：Available online 23 June 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.05.011