Applications of Sensors in Emotion Recognition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 20 September 2026 | Viewed by 10
Special Issue Editors
Interests: data analysis; connected health; pervasive computing; human–computer interaction; Internet of Things; legal technology
Special Issues, Collections and Topics in MDPI journals
Interests: model checking and temporal logic; data analysis and time series analysis; analysis of network protocols; design, usability analysis and prototyping of interactive interfaces; behavioural analysis of activities of daily living in smart environments; artificial intelligence and Internet of Things (IoT); cryptography
Interests: security and privacy in smart grid; applied cryptography in smart city and e-Health
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Emotion Recognition has evolved significantly over the past two decades, driven by advances in Sensor Technologies and Machine Learning. Initially focused on facial expressions and voice analysis, the field now leverages multimodal sensor data—including physiological signals, wearable devices, and environmental sensors—to capture subtle emotional states with higher accuracy. These developments have presented new opportunities in Healthcare, Human–Computer Interaction, and Affective Computing.
The aim of this Special Issue, “Applications of Sensors in Emotion Recognition,” is to showcase cutting-edge research that explores innovative sensor-based approaches for detecting and interpreting emotions. We seek contributions that address challenges such as real-time processing, multimodal fusion, robustness in diverse environments, and ethical considerations in emotion sensing.
We invite original research articles, reviews, and case studies on topics including sensor design; data acquisition; signal processing; Machine Learning models; and practical applications in domains like mental health monitoring, adaptive systems, and immersive technologies. Papers that integrate emerging technologies—such as the IoT, Edge Computing, and AI-driven analytics—are particularly encouraged.
Dr. Matias Garcia-Constantino
Dr. Alexandros Konios
Dr. Mustafa A. Mustafa
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- emotion recognition
- sensor technologies
- multi-modal data fusion
- physiological signal analysis
- affective computing
- wearable devices
- machine learning for emotion detection
- human–computer interaction
- real-time emotion monitoring
- Internet of Things (IoT)
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
