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

Journal: International journal of medical informatics
PMID: 38723429

Abstract

BACKGROUND: Human Emotion Recognition (HER) has been a popular field of study in the past years. Despite the great progresses made so far, relatively little attention has been paid to the use of HER in autism. People with autism are known to face problems with daily social communication and the prototypical interpretation of emotional responses, which are most frequently exerted via facial expressions. This poses significant practical challenges to the application of regular HER systems, which are normally developed for and by neurotypical people.

Authors

  • Oresti Banos
    Department of Computer Engineering, Automation and Robotics, University of Granada, Granada, Spain. Electronic address: oresti@ugr.es.
  • Zhoe Comas-González
    Department of Computer Engineering, Automation and Robotics, University of Granada, Granada, Spain; Department of Computer Science and Electronics, Universidad de la Costa, Barranquilla, Colombia.
  • Javier Medina
    Department of Computer Engineering, Automation and Robotics, University of Granada, Granada, Spain.
  • Aurora Polo-Rodríguez
    Department of Computer Engineering, Automation and Robotics, University of Granada, Granada, Spain; Department of Computer Science, University of Jaén, Jaén, Spain.
  • David Gil
    Department of Computer Technology and Computation, University of Alicante, Alicante, Spain.
  • Jesús Peral
    Department of Sotware and Computing Systems, University of Alicante, Alicante, Spain. Electronic address: jperal@ua.es.
  • Sandra Amador
    Department of Computer Technology and Computation, University of Alicante, Alicante, Spain.
  • Claudia Villalonga
    Department of Computer Engineering, Automation and Robotics, University of Granada, Granada, Spain.

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