Emotion Recognition and Cognitive Behavior Analysis Based on Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 20 May 2024 | Viewed by 934
Special Issue Editors
Interests: artificial intelligence; emotion recognition; learner behaviour modeling; semantic proximity measures; link prediction; deep learning algorithms
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; pattern recognition; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Emotion recognition is the process of identifying human emotion. People vary widely in their accuracy at recognizing the emotions of others. The use of technology to help people with emotion recognition is a relatively nascent research area. Past studies have found that emotion recognition training using cognitive behavioral analysis improved emotion recognition among individuals with mental disorders. Additionally, an intelligent method for human–computer interaction is also needed to bridge the gap of communication. This requires natural language processing, speech/vision processing, machine learning, as well as core reasoning technologies. All of these problems deal with a stream of data not only from individual sensors, such as image sensors, biomedical signal sensors, and wearable devices, but also from the fusion of various sensors.
This Special Issue is looking for high-quality research contributions in one or more of the following domains:
- Emotion recognition;
- Gesture recognition;
- Cognitive behavior analysis;
- Speech emotion recognition;
- Emotional cognition;
- Facial recognition.
Prof. Dr. Valentina Franzoni
Dr. Claudio Ferrari
Dr. João Baptista Cardia Neto
Guest Editors
Manuscript Submission Information
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