Advancements in Wearable Sensors for Affective Computing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 21 May 2026 | Viewed by 67
Special Issue Editors
Interests: emotional computing; neurophysiological signal; wearable technology
Interests: brain-computer interface technology; emotional computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Affective computing, an interdisciplinary field dedicated to recognizing, interpreting, and simulating human emotions, has been significantly advanced by wearable sensor technologies. Modern wearables are now capable of the continuous monitoring of diverse behavioral and physiological signals including gestures, facial expression, EEG, ECG, PPG, GSR, and more, and are transforming how we understand emotional states in real-world daily settings. These developments have ushered in a new era of ubiquitous computing, where emotion-aware systems seamlessly integrate into daily life through ambient intelligence and context-aware architectures. The applications of wearable sensors for affective computing could have profound and far-reaching impacts in fields such as human–computer interaction, mental healthcare, education, and entertainment.
Realizing this vision would demand innovations across multiple frontiers: novel wearable hardware designs for convenient sensing, creative approaches for longitudinal data collection, robust signal processing techniques to overcome real-world noise, and advanced machine learning algorithms that generalize across diverse settings and populations. This Special Issue invites original research articles, reviews, and case studies addressing but not limited to these above challenges.
Dr. Dan Zhang
Prof. Dr. Zhao Lv
Guest Editors
Manuscript Submission Information
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Keywords
- affective computing
- ubiquitous computing
- wearable sensors
- physiological signals
- emotion recognition
- daily life
- machine learning
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