Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals
People’s emotions play an important part in our daily life and can not only reflect psychological and physical states, but also play a vital role in people’s communication, cognition and decision-making. Variations in people’s emotions induced by external conditions are accompanied by variations in...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/4/2573 |
| _version_ | 1797622463412043776 |
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| author | Wenqian Lin Chao Li |
| author_facet | Wenqian Lin Chao Li |
| author_sort | Wenqian Lin |
| collection | DOAJ |
| description | People’s emotions play an important part in our daily life and can not only reflect psychological and physical states, but also play a vital role in people’s communication, cognition and decision-making. Variations in people’s emotions induced by external conditions are accompanied by variations in physiological signals that can be measured and identified. People’s psychological signals are mainly measured with electroencephalograms (EEGs), electrodermal activity (EDA), electrocardiograms (ECGs), electromyography (EMG), pulse waves, etc. EEG signals are a comprehensive embodiment of the operation of numerous neurons in the cerebral cortex and can immediately express brain activity. EDA measures the electrical features of skin through skin conductance response, skin potential, skin conductance level or skin potential response. ECG technology uses an electrocardiograph to record changes in electrical activity in each cardiac cycle of the heart from the body surface. EMG is a technique that uses electronic instruments to evaluate and record the electrical activity of muscles, which is usually referred to as myoelectric activity. EEG, EDA, ECG and EMG have been widely used to recognize and judge people’s emotions in various situations. Different physiological signals have their own characteristics and are suitable for different occasions. Therefore, a review of the research work and application of emotion recognition and judgment based on the four physiological signals mentioned above is offered. The content covers the technologies adopted, the objects of application and the effects achieved. Finally, the application scenarios for different physiological signals are compared, and issues for attention are explored to provide reference and a basis for further investigation. |
| first_indexed | 2024-03-11T09:11:38Z |
| format | Article |
| id | doaj.art-08a78f6098eb4af4a42002739ee45bb7 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T09:11:38Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-08a78f6098eb4af4a42002739ee45bb72023-11-16T18:57:41ZengMDPI AGApplied Sciences2076-34172023-02-01134257310.3390/app13042573Review of Studies on Emotion Recognition and Judgment Based on Physiological SignalsWenqian Lin0Chao Li1School of Media and Design, Hangzhou Dianzi University, Hangzhou 310018, ChinaCollege of Computer Science and Technology, Zhejiang University, Hangzhou 310027, ChinaPeople’s emotions play an important part in our daily life and can not only reflect psychological and physical states, but also play a vital role in people’s communication, cognition and decision-making. Variations in people’s emotions induced by external conditions are accompanied by variations in physiological signals that can be measured and identified. People’s psychological signals are mainly measured with electroencephalograms (EEGs), electrodermal activity (EDA), electrocardiograms (ECGs), electromyography (EMG), pulse waves, etc. EEG signals are a comprehensive embodiment of the operation of numerous neurons in the cerebral cortex and can immediately express brain activity. EDA measures the electrical features of skin through skin conductance response, skin potential, skin conductance level or skin potential response. ECG technology uses an electrocardiograph to record changes in electrical activity in each cardiac cycle of the heart from the body surface. EMG is a technique that uses electronic instruments to evaluate and record the electrical activity of muscles, which is usually referred to as myoelectric activity. EEG, EDA, ECG and EMG have been widely used to recognize and judge people’s emotions in various situations. Different physiological signals have their own characteristics and are suitable for different occasions. Therefore, a review of the research work and application of emotion recognition and judgment based on the four physiological signals mentioned above is offered. The content covers the technologies adopted, the objects of application and the effects achieved. Finally, the application scenarios for different physiological signals are compared, and issues for attention are explored to provide reference and a basis for further investigation.https://www.mdpi.com/2076-3417/13/4/2573emotionrecognitionclassificationjudgmentEEGEDA |
| spellingShingle | Wenqian Lin Chao Li Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals Applied Sciences emotion recognition classification judgment EEG EDA |
| title | Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals |
| title_full | Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals |
| title_fullStr | Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals |
| title_full_unstemmed | Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals |
| title_short | Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals |
| title_sort | review of studies on emotion recognition and judgment based on physiological signals |
| topic | emotion recognition classification judgment EEG EDA |
| url | https://www.mdpi.com/2076-3417/13/4/2573 |
| work_keys_str_mv | AT wenqianlin reviewofstudiesonemotionrecognitionandjudgmentbasedonphysiologicalsignals AT chaoli reviewofstudiesonemotionrecognitionandjudgmentbasedonphysiologicalsignals |