Radial basis function neural network for head roll prediction modelling in a motion sickness study

• Main Authors: Saruchi, S. A., Ariff, M. H. M., Shapiai, M. I., Hassan, N., Wahid, N., Zakaria, N. J., Rahman, M. A. A., Zamzuri, H.
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2019
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/90252/1/MohdHattaMohammed2019_RadialBasisFunctionNeuralNetwork.pdf; http://eprints.utm.my/id/eprint/90252/; http://dx.doi.org/10.11591/ijeecs.v15.i3.pp1637-1644

Motion Sickness (MS) is the result of uneasy feelings that occurs when travelling. In MS mitigation studies, it is necessary to investigate and measure the occupant’s Motion Sickness Incidence (MSI) for analysis purposes. One way to mathematically calculate the MSI is by using a 6-DOF Subjective Ver...