Abstract
A methodology is presented to obtain measurements of the emotional states of workers from the measurement of Heart Rate Variability. Two methodologies have been used, one based on logistic regression and another using fuzzy trees. The results show promising results to have a single model for using through different persons to obtain an estimation of their internal arousal and valence. This estimation will be validated in a second stage with a measurement of the cognitive load of the worker.
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Belda-Lois, JM. et al. (2020). Beyond Physical Domain, Understanding Workers Cognitive and Emotional Status to Enhance Worker Performance and Wellbeing. In: Ayaz, H. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 953. Springer, Cham. https://doi.org/10.1007/978-3-030-20473-0_4
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DOI: https://doi.org/10.1007/978-3-030-20473-0_4
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