TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Scherz, Wilhelm Daniel
A1  - Perea Rodríguez, Juan Jose
A1  - Seepold, Ralf
A1  - Ortega, Juan Antonio
T1  - Definition of Emotional States Interval for Application of Artificial Intelligence and Stress Estimation
T2  - Applications in Electronics Pervading Industry, Environment and Society : ApplePies 2023, 28.-29. September 2023, Genua, Italy, (Lecture Notes in Electrical Engineering ; Vol. 1110)
N2  - 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.
KW  - Stress
KW  - Emotion status
Y1  - 2024
SN  - 978-3-031-48120-8
SB  - 978-3-031-48120-8
SN  - 978-3-031-48121-5
SB  - 978-3-031-48121-5
U6  - https://doi.org/10.1007/978-3-031-48121-5_48
DO  - https://doi.org/10.1007/978-3-031-48121-5_48
N1  - Corresponding author: Wilhelm Daniel Scherz
SP  - 339
EP  - 345
PB  - Springer
CY  - Cham
ER  -