학술논문

Effects of Computerized Emotional Training on Children with High Functioning Autism
Document Type
Periodical
Source
IEEE Transactions on Affective Computing IEEE Trans. Affective Comput. Affective Computing, IEEE Transactions on. 12(4):1045-1054 Jan, 2021
Subject
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Emotion recognition
Games
Feature extraction
Kinematics
Training data
Sensors
Data mining
Autism
full-body movement
evaluation
serious game
autism spectrum condition
Language
ISSN
1949-3045
2371-9850
Abstract
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.