自闭症
高功能自闭症
心理学
阿斯伯格综合征
面部表情
情绪识别
表达式(计算机科学)
面部表情识别
运动(物理)
发展心理学
自闭症谱系障碍
认知心理学
计算机科学
人工智能
面部识别系统
模式识别(心理学)
沟通
程序设计语言
作者
Stefano Piana,Chiara Malagoli,Maria Carmen Usai,Antonio Camurri
标识
DOI:10.1109/taffc.2019.2916023
摘要
An evaluation study of a serious game and a system for the automatic emotion recognition designed for helping autistic children to learn to recognize and express emotions by means of their full-body movement is presented. Three-dimensional motion data of full-body movements are obtained from RGB-D sensors and used to recognize emotions by means of linear SVMs. Ten children diagnosed with High Functioning Autism or Asperger Syndrome were involved in the evaluation phase, consisting of repeated sessions to play a specifically designed serious game. Results from the evaluation study show an increase of tasks accuracy from the beginning to the end of training sessions in the trained group. In particular, while the increase of recognition accuracy was concentrated in the first sessions of the game, the increase for expression accuracy is more gradual throughout all sessions. Moreover, the training seems to produce a transfer effect on facial expression recognition.
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