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Analysis of emotion recognition based on brain-computer interface technology
- 1 Southern University of Science and Technology
* Author to whom correspondence should be addressed.
Abstract
The lifetime prevalence of social anxiety disorder is pretty high, and Brain-computer Interface (BCI) technology has become the main solution to the above problems. In order to solve this problem, this paper firstly introduced the sentiment classification and the theoretical basis of BCI emotion recognition, and bring up the specific mechanism and detailed process of emotion recognition. Secondly the selection of data sets and the detailed process of EEG signal analysis are mainly discussed, including pre-processing, feature extraction, classification of signal recognition, accuracy analysis and so on. Thirdly, the paper summarized some examples of current representative applications and the existing problems, improvements and breakthroughs in recent years. In the end, the future development trend of affective brain-computer interface is prospected. Although the brain computer interface (BCI) emotion recognition is still an immature technology in the initial stage and has so many challenging problems, but this paper wish and believe it can have a brilliant development prospect.
Keywords
BCI, emotion recognition, sentiment classification, EEG signal analysis
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Cite this article
Wu,R. (2023). Analysis of emotion recognition based on brain-computer interface technology. Theoretical and Natural Science,18,281-289.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics
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