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A Review of Emotion Recognition Using Physiological Signals
- Source :
- Sensors, Vol 18, Iss 7, p 2074 (2018), Sensors (Basel, Switzerland)
- Publication Year :
- 2018
- Publisher :
- MDPI AG, 2018.
-
Abstract
- Emotion recognition based on physiological signals has been a hot topic and applied in many areas such as safe driving, health care and social security. In this paper, we present a comprehensive review on physiological signal-based emotion recognition, including emotion models, emotion elicitation methods, the published emotional physiological datasets, features, classifiers, and the whole framework for emotion recognition based on the physiological signals. A summary and comparation among the recent studies has been conducted, which reveals the current existing problems and the future work has been discussed.
- Subjects :
- Safe driving
Emotions
Review
02 engineering and technology
Models, Psychological
lcsh:Chemical technology
emotion stimulation
01 natural sciences
Biochemistry
physiological signals
emotion model
Analytical Chemistry
ComputerApplications_MISCELLANEOUS
emotion recognition
Health care
0202 electrical engineering, electronic engineering, information engineering
Humans
features
lcsh:TP1-1185
Emotion recognition
Electrical and Electronic Engineering
GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Instrumentation
Emotional Intelligence
business.industry
010401 analytical chemistry
Recognition, Psychology
classifiers
Atomic and Molecular Physics, and Optics
0104 chemical sciences
020201 artificial intelligence & image processing
Psychology
business
Emotion elicitation
Cognitive psychology
Subjects
Details
- ISSN :
- 14248220
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....1ed4644fac088a4f8fbeed6c5824fc93