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The art of emotional intelligence (EI) plays an essential part in developing empathy, trust, and successful interaction in healthcare settings. This work offers a novel method for integrating machine learning (ML)-based voice and recognition of facial emotions technologies using emotional intelligence (EI) in healthcare systems. By observing people' facial expressions and conversational frequencies in real time, software allows doctors and nurses to dynamically determine their emotional states, causing higher quality and friendly care. To enhance the effectiveness and trust of identifying emotion, the approach being proposed combines hybrid data fusion with the most advanced machine learning techniques in facial recognition and speech recognition. By handling several types of obstacles, like uncertain data and noise from health care settings, our technique ensures uniform success over any number of person factors and healthcare environments.

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Empowering Emotional Intelligence in Healthcare: ML-Based Facial and Speech Emotion Recognition for Patient-Centered Systems

  • 会议论文

  • 发表日期：

    2026年

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  • S. Madhumathi,
  • S. Gobinath,
  • R. Sivasankar,
  • S. D. Prabu Ragavendiran,
  • P. Nanthini

摘要

The art of emotional intelligence (EI) plays an essential part in developing empathy, trust, and successful interaction in healthcare settings. This work offers a novel method for integrating machine learning (ML)-based voice and recognition of facial emotions technologies using emotional intelligence (EI) in healthcare systems. By observing people' facial expressions and conversational frequencies in real time, software allows doctors and nurses to dynamically determine their emotional states, causing higher quality and friendly care. To enhance the effectiveness and trust of identifying emotion, the approach being proposed combines hybrid data fusion with the most advanced machine learning techniques in facial recognition and speech recognition. By handling several types of obstacles, like uncertain data and noise from health care settings, our technique ensures uniform success over any number of person factors and healthcare environments.