Authors:
Jan L. Souman, Jelte E. Bos, Susanne Louvenberg
Keywords:
carsickness, Facial images, motion sickness, Occupant state monitoring
Abstract:
Bos J.; Louvenberg S. and Souman J. In-car occupant state monitoring using RGB - and IR-images - carsickness as an example In: Proceedings of the Driving Simulation Conference 2026 Europe XR, Driving Simulation Association, Antibes, France, 2026, pp. 33-37
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@inproceedings{Bos2026,
title = {In-car occupant state monitoring using RGB - and IR-images - carsickness as an example},
author = {Jelte Bos and Susanne Louvenberg and Jan Souman},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet and Stéphane Espié},
doi = {https://doi.org/10.82157/dsa/2026/4},
isbn = {978-2-9573777-9-4},
year = {2026},
date = {2026-09-16},
urldate = {2026-09-16},
booktitle = {Proceedings of the Driving Simulation Conference 2026 Europe XR},
volume = {11},
pages = {33-37},
address = {Antibes, France},
organization = {Driving Simulation Association},
abstract = {With growing vehicle automation, occupant state monitoring systems gains interest as well. State monitoring typically concerns multiple states, such as drowsiness, alertness, and impairment. One example of the latter is carsickness, a factor generally considered of great importance for self-driving vehicles. Here we elaborate on that example using RGB images combined with far infrared (IR or thermographic) images of the face. In a lab experiment we induced motion sickness in 14 subjects mapping different regions of interest found in the RGB images onto the matching regions in the IR images. Of all regions considered, the central forehead showed the most significant and consistent effect, with an average estimated reduction of skin temperature of 1.32 oC over the entire range of feeling well up to emesis. Although this study implies an important step forward in monitoring carsickness, showing forehead skin temperature to be a sensitive measure, its specificity should still be determined. The latter, however, requires multiple non-motion stressors to be studied, as well as multiple measures, which poses a major challenge for independent and scientifically sound research that still needs to be carried out.},
keywords = {},
}
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TY - CONF
TI - In-car occupant state monitoring using RGB - and IR-images - carsickness as an example
AU - Bos, Jelte
AU - Louvenberg, Susanne
AU - Souman, Jan
C1 - Antibes, France
C3 - Proceedings of the Driving Simulation Conference 2026 Europe XR
DA - 2026/09/16
PY - 2026
SP - 33
EP - 37
LA - en-US
PB - Driving Simulation Association
SN - 978-2-9573777-9-4
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2026/in-car-occupant-state-monitoring-using-rgb-and-ir-images-carsickness-as-an-example
ER -
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