Psychological Stress Assessment Method Based on Learning Using Privileged Information Framework
Pages 91 - 97
Abstract
At present, research mainly uses single modal and multimodal physiological signals to identify human psychological states, but these methods generally have the drawbacks of low evaluation accuracy, poor applicability, and weak effectiveness. To address the above shortcomings, this article proposes a psychological stress assessment method based on the privileged information learning paradigm framework. This method uses the SVM+ algorithm under the privileged information learning paradigm framework to predict from the WESAD dataset and compares its performance with other algorithms. According to the experimental results, the SVM+ algorithm has classification accuracy and robustness compared to other comparative algorithms. The experiment in this article can provide reference for subsequent research on convenient psychological stress assessment.
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Published In
July 2023
140 pages
ISBN:9798400707698
DOI:10.1145/3613307
Copyright © 2023 ACM.
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Association for Computing Machinery
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Publication History
Published: 28 September 2023
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ICBIP 2023
ICBIP 2023: 2023 8th International Conference on Biomedical Signal and Image Processing
July 21 - 23, 2023
Chengdu, China
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