Multi-Dimensional and Objective Assessment of Motion Sickness Susceptibility Based on Machine Learning

Abstract

BackgroundAs human transportation, recreation, and production methods change, the impact of motion sickness (MS) on humans is becoming more prominent. The susceptibility of people to MS can be accurately assessed, which will allow ordinary people to choose comfortable transportation and entertainment and prevent people susceptible to MS from entering provocative environments. This is valuable for maintaining public health and the safety of tasks.ObjectiveTo develop an objective multi-dimensional MS susceptibility assessment model based on physiological indicators that objectively reflect the severity of MS and provide a reference for improving the existing MS susceptibility assessment methods.MethodsMS was induced in 51 participants using the Coriolis acceleration stimulation. Some portable equipment were used to digitize the typical clinical manifestations of MS and explore the correlations between them and Graybiel's diagnostic criteria. Based on significant objective parameters and selected machine learning (ML) algorithms, several MS susceptibility assessment models were developed, and their performances were compared.ResultsGastric electrical activity, facial skin color, skin temperature, and nystagmus are related to the severity of MS. Among the ML assessment models based on these variables, the support vector machine classifier had the best performance with an accuracy of 88.24%, sensitivity of 91.43%, and specificity of 81.25%.ConclusionThe severity of symptoms and signs of MS can be objectively quantified using some indicators. Multi-dimensional and objective assessment models for MS susceptibility based on ML can be successfully established.

Evaluation of sensory discomfort caused by stimulation with virtual reality in volunteers with and without kinetosis

“…No correlation was observed between the increased prevalence or intensity of motion sickness in relation to gender or age, contrary to what some studies suggest, which report that women and younger individuals are more susceptible to this disease (6)(7)(8) .…”

“…Motion sickness arises from an incongruity between the stimuli from the vestibular, visual, and proprioceptive systems in the face of an unusual movement of the body, or a distorted spatial perception, which generates a conflict sensory input in the brain (8,9) .…”

Avaliação do desconforto sensorial causado por estimulação com realidade virtual em voluntários com e sem cinetose

“…Não se observou correlação entre o aumento de prevalência ou intensidade de cinetose em relação a gênero ou idade, ao contrário do que sugerem alguns trabalhos, os quais relatam que as mulheres e indivíduos mais jovens são mais suscetíveis a apresentar essa doença (6)(7)(8) .…”

“…A cinetose ou o sintoma de mal-estar do movimento surge no indivíduo quando existe uma incongruência entre os estímulos oriundos dos sistemas vestibular, visual e proprioceptivo frente a um movimento não habitual do corpo, ou a uma percepção espacial distorcida, o que gera um conflito sensorial no cérebro (8,9) .…”

A Systematic Literature Review for Measure, Estimation, and Mitigation of Motion Sickness in Vehicle Environment

“…The experimental conditions included various tasks and scenarios such as driving, reading, visual search, and text entry tasks. Data analysis approaches included statistical validation, use of time series data and machine learning algorithms, and data generation related to the degree of motion sickness via simulations (Li, 2022).…”