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This paper comprehensively reviews emotion recognition techniques, spanning various sources such as questionnaires, physical signals (facial expression and speech), and physiological signals (EEG, galvanic skin response, ECG, and eye tracking). It delves into emotion models, elicitation stimuli, and automated recognition systems, analyzing almost 60 articles from journals through PRISMA guidelines. The review identifies challenges in the existing literature and suggests future research directions in this evolving field, crucial for effective computing, healthcare, human–robot interactions, and market research.

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Advancements in Emotion Recognition: Systematic Review and Research Roadmap

  • 会议论文

  • 发表日期：

    2025年

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  • Bhupendra Singh Kirar,
  • Jagruti Madavi,
  • Ambirashah Prajapati,
  • Lavina Solanki,
  • Pratyaksha Newalkar

摘要

This paper comprehensively reviews emotion recognition techniques, spanning various sources such as questionnaires, physical signals (facial expression and speech), and physiological signals (EEG, galvanic skin response, ECG, and eye tracking). It delves into emotion models, elicitation stimuli, and automated recognition systems, analyzing almost 60 articles from journals through PRISMA guidelines. The review identifies challenges in the existing literature and suggests future research directions in this evolving field, crucial for effective computing, healthcare, human–robot interactions, and market research.