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Sensing Technologies Applied in Human Emotion and Facial Expression Recognition

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 25 November 2025 | Viewed by 346

Special Issue Editors


E-Mail Website
Guest Editor
College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China
Interests: signal processing & image processing; affective computing; biomedical engineering

E-Mail Website
Guest Editor
Electronic and Electrical Engineering, Brunel University London, Uxbridge UB8 3PH, UK
Interests: image processing; artificial intelligence; signal processing; affective computing
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Special Issue Information

Dear Colleagues,

In recent years, we have witnessed significant advancements in sensing technologies for human emotions, which primarily rely on analyzing facial expressions, voice, body language, and physiological signals to accurately recognize and understand human emotional states. These technologies will provide more intelligent and personalized solutions for fields such as human–computer interaction, healthcare, education, customer service, etc.

This Special Issue aims to collate original research and review articles focusing on recent progress, technologies, approaches, applications, and new obstacles in the field of human emotion and facial expression recognition.

Dr. Tong Chen
Prof. Dr. Hongying Meng
Guest Editors

Manuscript Submission Information

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Keywords

  • emotion recognition and understanding
  • intent recognition
  • facial expression recognition
  • micro-expression recognition
  • masked facial expression recognition
  • stress recognition
  • physiological signal
  • multi-modal signals
  • wearable sensors
  • imaging sensors
  • non-contact sensing for physiological signal measurement
  • non-contact sensing for emotion recognition

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Published Papers

This special issue is now open for submission.
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