Artificial neural network for modelling of the correlation between lateral acceleration and head movement in a motion sickness study

作者: Sarah ‘Atifah Saruchi , Mohd Hatta Mohammed Ariff , Hairi Zamzuri , Nurhaffizah Hassan , Nurbaiti Wahid

DOI: 10.1049/IET-ITS.2018.5264

关键词:

摘要: Motion sickness (MS) usually occurs when travelling in a moving vehicle, and especially experienced by the passengers compared to driver. The difference their head movements with respect direction of lateral acceleration affects MS severity level. When experiencing curvature, normally tilt same as acceleration, while driver tilts his/her against it. This study proposes correlation model between vehicle passenger via an artificial neural network. Experimental datasets were used modelling process. influence number hidden neurons accuracy has also been investigated. Then, from was expressed mathematical equation. representation can be beneficial design motion control systems order mitigate effect.

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