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 language | English |
|---|---|
| Title of host publication | 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025) |
| Publisher | AHFE Open Access |
| DOIs | |
| Publication status | Published - Jan 2025 |
Free Keywords
- Motion Sickness
- Autonomous Vehicle
- Biosensors
- Motion Sickness Detection
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