Mental Workload Assessment in Human–Computer Interaction Multitasking Environment Based on Multimodal Physiological Signals
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0194-0_29
Reference10 articles.
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2. Ding Y et al (2020) Measurement and identification of mental workload during simulated computer tasks with multimodal methods and machine learning. Ergonomics 1–32
3. Qinl L, Chen Z et al (2019) Understanding driver distractions in fatal crashes: An exploratory empirical analysis. J Saf Res 69:23–31(2019)
4. Yin Z, Zhang J (2014) Operator functional state classification using least-square support vector machine-based recursive feature elimination technique. Comput Methods Programs Biomed 113(1):101–115
5. Jame Chenarboo F, Hekmatshoar R, Fallahi M (2022) The influence of physical and mental workload on the safe behavior of employees in the automobile industry. Heliyon 8(10):e11034
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