AHFE Open AccessMotion sickness detection in autonomous vehicle with biosensors: A review
Open Access
Article
Conference Proceedings
Authors: Yaorun Zhang, Xu Sun, Yifan Yang, Juanfen Xu, Qingfeng Wang, Jiang Wu
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.
Keywords: Motion Sickness, Autonomous Vehicle, Biosensors, Motion Sickness Detection
DOI: 10.54941/ahfe1006515
Cite this paper
Downloads
441
Visits
634
More from this volume
← Advanced Driver Assistance Systems and Emotion-based Driver BehaviorElderly-friendly Design of In-vehicle Navigation Interface in New Energy Vehicles from the Perspective of Implicit Interaction →
- Investigating Relationships Between First Solo Hours and Overall Flight Training Performance for Part 141 Flight Students
- Some of our CVR data are missing: 92 airline accidents & incidents 2014–2024
- Mayday, Mayday! - Is Heart Rate Variability a Suitable Objective Indicator to Detect Pilot’s Increased Mental Workload in Emergency Situations?
- Investigating the Acceptance of Vertiport Construction Near Residence Using Technology Acceptance Model (TAM)
- Digital Assistant Concept for Enroute Air Traffic Management
- Triggers and Consequences: A Multidimensional Analysis of the Rebound Effect in Sustainable Design
- User-Driven Strategies to Enhance Cockpit Comfort in New Energy Vehicles
- Flexible Human-Machine Collaboration: The Concept and Case Study of Lunar Surface Exploration Task
- Flight Safety - Alcohol Detection assisted by AI Facial Recognition Technology
- Safety and Human Factors Challenges of Aircraft Berths: Problem Analysis and Optimization Approaches
- Exploring the Impact of Factors on Upper Limb Functional Space and Operational Efficiency: A Theoretical Analysis
- The Implementation of AI in Aviation Accidents Investigations