Emo-mirror: a proposal to support emotion recognition in children with autism spectrum disorders

被引:0
作者
Rodolfo Pavez
Jaime Diaz
Jeferson Arango-Lopez
Danay Ahumada
Carolina Mendez-Sandoval
Fernando Moreira
机构
[1] Universidad de La Frontera,Departamento de Ciencias de la Computación e Informática
[2] Universidad de Caldas,Departamento de Sistemas e Informática
[3] Universidad Católica de Temuco,Departamento de Procesos Diagnósticos y Evaluación
[4] Hospital Hernán Henríquez Aravena,REMIT, IJP
[5] Universidade Portucalense and IEETA,undefined
[6] Universidade de Aveiro,undefined
来源
Neural Computing and Applications | 2023年 / 35卷
关键词
Autism spectrum disorders; Emotion recognition; Human–computer interaction; Convolutional neural networks;
D O I
暂无
中图分类号
学科分类号
摘要
Autism spectrum disorder (ASD) is a neurodevelopmental disorder defined as persistent difficulty in maturing the socialization process. Health professionals have used traditional methods in the therapies performed on patients with the aim of improving the expression of emotions by patients. However, they have not been sufficient to detect the different emotions expressed in the face of people according to different sensations. Therefore, different artificial intelligence techniques have been applied to improve the results obtained in these therapies. In this article, we propose the construction of an intelligent mirror to recognize five basic emotions: angry, scared, sad, happy and neutral. This mirror uses convolutional neural networks to analyze the images that are captured by a camera and compare it with the one that the patient should perform, thus supporting the therapies performed by health professionals in children with ASD. The proposal presents the platform and computer architecture, as well as the evaluation by specialists under the technology acceptance model.
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页码:7913 / 7924
页数:11
相关论文
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