Sensing-Enhanced Therapy System for Assessing Children With Autism Spectrum Disorders: A Feasibility Study

Abstract

It is evident that recently reported robot-assisted therapy systems for assessment of children with autism spectrum disorder (ASD) lack autonomous interaction abilities and require significant human resources. This paper proposes a sensing system that automatically extracts and fuses sensory features, such as body motion features, facial expressions, and gaze features, further assessing the children behaviors by mapping them to therapist-specified behavioral classes. Experimental results show that the developed system has a capability of interpreting characteristic data of children with ASD, thus has the potential to increase the autonomy of robots under the supervision of a therapist and enhance the quality of the digital description of children with ASD. The research outcomes pave the way to a feasible machine-assisted system for their behavior assessment.

Publication Date

2019-02-15

Publication Title

IEEE Sensors Journal

Volume

19

Issue

4

ISSN

1530-437X

Embargo Period

9999-12-31

Keywords

autism spectrum disorders, autonomy, Sensing-enhanced, therapy

First Page

1508

Last Page

1518

This document is currently not available here.

10.1109/JSEN.2018.2877662" data-hide-no-mentions="true">

Share

COinS