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Definition of Emotional States Interval for Application of Artificial Intelligence and Stress Estimation

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Applications in Electronics Pervading Industry, Environment and Society (ApplePies 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1110))

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Abstract

The perception of the amount of stress is subjective to every person, and the perception of it changes depending on many factors. One of the factors that has an impact on perceived stress is the emotional state. In this work, we compare the emotional state of 40 German driving students and present different partitions that can be advantageous for using artificial intelligence and classification. Like this, we evaluate the data quality and prepare for the specific use. The Stress Perceived Questionnaire (PSQ20) was employed to assess the level of stress experienced by individuals while participating in a driving simulation for 5 and 25 min. As a result of our analysis, we present a categorisation of various emotional states into intervals, comparing different classifications and facilitating a more straightforward implementation of artificial intelligence for classification purposes.

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Author information

Authors and Affiliations

  1. HTWG Konstanz, Alfred-Wachtel-Str. 8, 78462, Konstanz, Germany

    Wilhelm Daniel Scherz & Ralf Seepold

  2. Universidad de Loyola Andalucía, Av. de Las Universidades, 2, 41704, Dos Hermanas, Sevilla, Spain

    Wilhelm Daniel Scherz & Juan J. Perea

  3. University of Seville, Avda. Reina Mercedes S/N, Seville, Spain

    Juan Antonio Ortega

Authors
  1. Wilhelm Daniel Scherz
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  2. Juan J. Perea
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  3. Ralf Seepold
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  4. Juan Antonio Ortega
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Corresponding author

Correspondence to Wilhelm Daniel Scherz .

Editor information

Editors and Affiliations

  1. Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy

    Francesco Bellotti

  2. Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece

    Miltos D. Grammatikakis

  3. Lab-STICC, CNRS UMR 6285, École nationale supérieure de techniques avancées Bretagne, Brest, France

    Ali Mansour

  4. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy

    Massimo Ruo Roch

  5. Department of Computer Science, HTWG Konstanz—University of Applied Sciences, Konstanz, Germany

    Ralf Seepold

  6. Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Catalonia, Spain

    Agusti Solanas

  7. Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy

    Riccardo Berta

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Scherz, W.D., Perea, J.J., Seepold, R., Ortega, J.A. (2024). Definition of Emotional States Interval for Application of Artificial Intelligence and Stress Estimation. In: Bellotti, F., et al. Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2023. Lecture Notes in Electrical Engineering, vol 1110. Springer, Cham. https://doi.org/10.1007/978-3-031-48121-5_48

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  • DOI: https://doi.org/10.1007/978-3-031-48121-5_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48120-8

  • Online ISBN: 978-3-031-48121-5

  • eBook Packages: EngineeringEngineering (R0)

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