Deployment of Preemption based Motion Sickness Prevention Technology on a Testbed Vehicle in Mcity
Shorya Awtar, Associate Professor of Mechanical Engineering – University of Michigan
Technical Founder – FlexDex Surgical
Bernard Martin, Associate Professor of Industrial and Operations Engineering – University of Michigan
The objective of this project is to deploy a novel motion sickness prevention technology (PREACT) on a custom-designed vehicle testbed in Mcity, and experimentally validate its efficacy under realistic driving conditions with human subjects. The PREACT technology employs prediction algorithms to anticipate impending inertial events associated with driving and makes preemptive interventions (e.g. via tip/tilt seat, tightening seat-belt, and haptic stimuli) before the inertial events actually happen, thereby averting motion sickness.
Our previous CCAT grant has enabled the development of several key components of the PREACT technology – a vehicle testbed comprising various mechatronic modules for preemption; instrumentation to measure the states of the vehicle and the passenger; triggering algorithms necessary to preemptively actuate the mechatronic modules; an Mcity path that emulates city and highway driving; and, an IRB approved human subject testing protocol. This project aims to bring together and integrate these previously developed components to demonstrate a Proof of Principle of the PREACT technology, for one set of experimental conditions.
By mitigating motion sickness and enhancing comfort and productivity for passengers, the PREACT technology will help overcome a major practical impediment in the adoption of Autonomous Vehicles by the society. This, in turn, will usher in the numerous benefits of AVs – fewer road accidents and fatalities, reduced traffic congestion, lower energy consumption and environmental footprint, reclaimed productivity for passengers, and equitable access to transportation.
Institution(s): University of Michigan – Ann Arbor
Award Year: 2022
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