DOIONLINE 
DOIONLINE Publish In |
International Journal of Mechanical and Production Engineering (IJMPE)-IJMPE |
 Journal Home Volume Issue |
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Issue |
Volume-7,Issue-2 ( Feb, 2019 ) | |||||||||
Paper Title |
Motion Sickness Prediction Device for Automated Vehicles | |||||||||
Author Name |
Spencer Salter, Fimeche Mcsfs, Cyriel Diels, Stratis Kanarachos, Doug Thake | |||||||||
Affilition |
Coventry University | |||||||||
Pages |
68-74 | |||||||||
Abstract |
Motion sickness is a persistent problem in many forms of transport. It affects most of the population, is debilitating for the sufferer and can disrupt the journey for the rest. Automated Vehicles (AV‟s) offer greater flexibility in cabin design particularly in the future where no physical controls are required. This poses additional risks to passenger wellbeing with increased levels of motion sickness when passengers and historical drivers are multi-tasking. This study demonstrates a device that can predict real time occupant motion sickness based on motion, head tilt and ambient conditions. Recovery is also considered for multiple journeys. The device can be easily modified to reflect an individual‟s susceptibility or use group settings for the general population. Index Terms - Automated Vehicle, Motion sickness, Wellbeing, Prediction. | |||||||||
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