We found the skin conductance modality to be most indicative of stress, and the segment length of 60 seconds around user-reported stress labels resulted in top stress detection performance.
Sep 19, 2023
The paper proposes an approach to determine time segments that were critical to differentiate the types of text based on stress. A support vector machine (SVM) ...
Optimal time segments for stress in reading were successfully found and the GA and SVM hybrid classifier showed an improvement in stress recognition when ...
Optimal time segments for stress in reading were successfully found and the GA and SVM hybrid classifier showed an improvement in stress recognition when ...
Optimal Time-Censored Constant-Stress ALT Plan Based on ...
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Jun 15, 2016 · Abstract: This paper proposes a method for designing an optimal plan for the type-I censoring constant-stress accelerated life test (ALT) ...
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Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev. Hosted as a part of SLEBOK on ...
Optimal Time Segments for Stress Detection. https://doi.org/10.1007/978-3-642 ... time segment analysis for P300 detection with spatial filtering. In ...
May 9, 2020 · This framework introduces a hybrid feature-set that feeds five ML classifiers to detect stress and non-stress states, and classify stress levels.
The current standard method for measuring stress is either via self-reports, like the Perceived Stress Scale (PSS) [14], or by cortisol level measurement [36].
The signal is then segmented for various time intervals such as 100,. 200, and 300 seconds, depending on the levels of stress. Statistical features were ...