Motion sickness detection in autonomous vehicle with biosensors: A review

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

The advent of autonomous driving reduces human control and situational awareness on the road, significantly increasing the likelihood of motion sickness (MS) among passengers. This review explores key physiological measurement methods for detecting MS in autonomous vehicle environments, emphasizing the effectiveness of various biosensors—such as those monitoring body motion, brain activity, eye response, and heart rate. It highlights the potential of multi-sensor fusion methods to enhance sensor usability and provide comprehensive, real-time MS detection, ultimately improving passenger comfort.
Original languageEnglish
Title of host publication 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025)
PublisherAHFE Open Access
DOIs
Publication statusPublished - Jan 2025

Free Keywords

  • Motion Sickness
  • Autonomous Vehicle
  • Biosensors
  • Motion Sickness Detection

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