Revisiting Motion Sickness Models Based on SVC Theory Considering Motion Perception

Author:

Inoue Shota,Liu Hailong,Wada Takahiro

Abstract

<div class="section abstract"><div class="htmlview paragraph">Ride comfort improvement and motion sickness reduction are gaining attention given recent technological trends, such as the advancement of automated driving systems, the introduction of in-vehicle digital devices, and the daily use of mobile devices in vehicles. As a countermeasure, mathematical models predicting motion sickness were proposed. Among them, models based on sensory conflict or subjective vertical conflict theories were developed. These models can successfully describe the tendency of motion sickness in several scenarios involving various vestibular inputs or head movements, including carsickness. Almost all models are based on human motion perception with an internal model hypothesis. It has advantages when expanded to model sickness caused by multi-sensory inputs. Some expansions of the models to include the effects of visual information and motion prediction on motion sickness have been made. However, the motion perception calculated by the models has not been investigated, while the motion sickness output has been evaluated for various scenarios, including carsickness. Therefore, as the first step, we focused on vestibular motion sickness. Herein, 6 DoF SVC models of vestibular motion sickness were investigated to determine whether they could describe motion sickness incidence (MSI) as well as motion perception reported in the literature through parameter optimization. In this investigation, four different structures of 6 DoF SVC models, with or without integrals in the feedback process of the observer-theoretic structure, were explored, including the original 6 DoF SVC model. We found that multiple models with optimized parameters could describe the tendency of MSI as well as motion perception.</div></div>

Publisher

SAE International

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Subjective Vertical Conflict Model With Visual Vertical: Predicting Motion Sickness on Autonomous Personal Mobility Vehicles;IEEE Transactions on Intelligent Transportation Systems;2024-08

2. Generating Visual Information for Motion Sickness Reduction Using a Computational Model Based on SVC Theory;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

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