Emotion Recognition Technologies in Human-Machine Interaction
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 2064
Special Issue Editor
Special Issue Information
Dear Colleagues,
Affective computing builds a harmonious human-computer environment by enabling the computer systems and devices to recognize, interpret, and simulate human affects. Emotion recognition is the basic part of affective computing and is effective to improve the naturalness for intelligent interaction. This kind of cooperation needs a special set of sensors or even sensor networks. Within affective science more broadly, there is an explosion of interest in realizing more natural human-computer interaction by taking affective computing into consideration. It is also important to understand of how emotion is represented in the brain and how it shapes the body in biological processes. Research to quantitatively measure emotions through the development of sensor technology and artificial intelligence has urgent requirement.
This Special Issue is addressed to all types of sensors signals analyzed for Emotion Recognition.
Dr. Bin Liu
Guest Editor
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Keywords
- motion capture for affect recognition
- multimodal data fusion for affect recognition
- affective speech analysis and recognition
- affective text processing and sentiment analysis
- facial and body gesture recognition
- affective recognition from alternative modalities
- remote emotion sensing
- affective interface
- affective and social robotics and virtual agents
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