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This study developed a digital mirror system to help individuals improve emotional expression for better social interaction. The system shows promise for therapeutic applications, particularly for individuals with autism spectrum disorder.

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Area of Science:

  • Neuroscience
  • Psychology
  • Human-Computer Interaction

Background:

  • Growing popularity of health apps for well-being.
  • Emotional intelligence is key for social interaction and neurosensory health.
  • Need for tools to aid emotion identification and expression.

Purpose of the Study:

  • Develop and test a closed-loop feedback system for emotion projection via facial expression mimicry.
  • Investigate the system's feasibility for therapeutic applications, especially for individuals with autism spectrum disorder.
  • Enhance emotional intelligence and social interaction skills.

Main Methods:

  • A digital mirror system displaying animated avatars expressing basic emotions.
  • Users mimic avatar expressions, with a custom emotion recognition model analyzing facial feedback.
  • Feasibility tested on 8 participants with 6 basic emotions and a neutral expression.

Main Results:

  • Participants recognized emotions with 85.40% accuracy.
  • Participants mimicked expressions with 46.67% accuracy.
  • Initial 'surprise' expression deficiency addressed with ~30% performance boost through model enhancement.

Conclusions:

  • The system demonstrates potential for enhancing emotional skill development and well-being.
  • The digital mirror approach shows promise for therapeutic interventions.
  • Further validation through larger studies is required.