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Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review

Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review

Oresti Banos ¹, Zhoe Comas-González ², Javier Medina ¹, Aurora Polo-Rodríguez ³, David Gil ⁴, Jesús Peral ⁵, Sandra Amador ⁴, Claudia Villalonga ¹

Oresti Banos ¹, Zhoe Comas-González ², Javier Medina ¹

¹Department of Computer Engineering, Automation and Robotics, University of Granada, Granada, Spain.
²Department of Computer Engineering, Automation and Robotics, University of Granada, Granada, Spain; Department of Computer Science and Electronics, Universidad de la Costa, Barranquilla, Colombia.
³Department of Computer Engineering, Automation and Robotics, University of Granada, Granada, Spain; Department of Computer Science, University of Jaén, Jaén, Spain.
⁴Department of Computer Technology and Computation, University of Alicante, Alicante, Spain.
⁵Department of Sotware and Computing Systems, University of Alicante, Alicante, Spain.

⁰Department of Computer Engineering, Automation and Robotics, University of Granada, Granada, Spain.

International Journal of Medical Informatics +

|

May 9, 2024

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View abstract on PubMed

Summary

This summary is machine-generated.

This review examines Human Emotion Recognition (HER) systems for autism, highlighting challenges and future directions. Current systems often overlook the unique needs of autistic individuals, necessitating tailored approaches.

Area Of Science

Computer Science
Psychology
Biomedical Engineering

Background

Human Emotion Recognition (HER) systems face challenges in autism due to atypical social communication and emotional expression.
Existing HER systems are typically designed for neurotypical individuals, limiting their applicability for autistic populations.

Conclusions

Classical supervised machine learning models were favored over unsupervised or deep learning approaches.
Research has broadly addressed autism, with limited focus on specific autism spectrum disorders.
Privacy and security concerns in HER for autism were inadequately addressed.

Keywords:

Autism Datasets Human emotion recognition Machine learning techniques

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Related Concept Videos

Autism Spectrum Disorder

Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.

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