Human Emotion Recognition and Reactions Through Sensor Technologies: Findings, Challenges, Opportunities and Future Directions
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 25 May 2026 | Viewed by 19
Special Issue Editor
2. Department of Chemical and Industrial Engineering, Engineering School of Lorena, University of São Paulo—USP, Lorena, SP, Brazil
Interests: neuroscience; neuroengineering; innovation in education; emotional regulation; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The recognition and interpretation of human emotions through sensor technologies have emerged as a rapidly advancing interdisciplinary field, bridging neuroscience, computer science, psychology, biomedical engineering, and human–computer interaction. By leveraging wearable and ambient sensors, physiological signals, and advanced computational models, researchers are now able to capture subtle emotional states and reactions in real time. These developments hold promise for transformative applications in healthcare, education, workplace monitoring, entertainment, and adaptive intelligent systems.
Despite significant progress, major challenges remain. Issues of multimodal data integration, algorithmic accuracy, interpretability, cross-cultural generalizability, and ethical concerns such as privacy and informed consent continue to demand critical attention. At the same time, opportunities abound for developing novel approaches that combine artificial intelligence, affective computing, and advanced sensor networks to enhance the robustness and societal relevance of emotion recognition technologies.
This Special Issue, titled "Human Emotion Recognition and Reactions Through Sensor Technologies: Findings, Challenges, Opportunities and Future Directions", welcomes contributions that address methodological innovations, experimental studies, practical implementations, and theoretical insights. By fostering dialogue across disciplines, we aim to advance the scientific and applied understanding of how sensor-based technologies can reliably and ethically contribute to recognizing and responding to human emotions.
Prof. Dr. Messias Silva
Guest Editor
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Keywords
- human emotion recognition
- sensor technologies
- multimodal data fusion
- physiological signal processing
- machine learning and AI
- human–computer interaction
- neurocognitive responses
- ethical and privacy issues
- applications in healthcare and education
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