Emo-mirror: a proposal to support emotion recognition in children with autism spectrum disorders
Files
Date
2021-10-08
Embargo
Advisor
Coadvisor
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Language
English
Alternative Title
Abstract
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.
Keywords
Autism Spectrum Disorder (ASD), Emotion recognition, Human–computer interaction, Convolutional neural networks
Document Type
Journal article
Publisher Version
Dataset
Citation
Pavez, R., Diaz, J., Arango-Lopez, J., Ahumada, D., Mendez-Sandoval, C., & Moreira, F. (2021). Emo-mirror: a proposal to support emotion recognition in children with autism spectrum disorders. Neural Computing and Applications, (Published online: 08 October 2021), 1-12. https://doi.org/10.1007/s00521-021-06592-5. Repositório Institucional UPT. http://hdl.handle.net/11328/4392
Identifiers
TID
Designation
Access Type
Restricted Access
License
Sponsorship
Description
Published online: 08 October 2021