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

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

Motion sickness (MS) usually occurs when travelling in a moving vehicle, and especially experienced by the passengers compared to the driver. The difference in their head movements with respect to the direction of lateral acceleration affects the MS severity level. When experiencing curvature, the p...

Full description

Saved in:

Bibliographic Details
Main Authors:	Saruchi, Sarah ‘Atifah, Mohammed Ariff, Mohd. Hatta, Zamzuri, Hairi, Hassan, Nurhaffizah, Wahid, Nurbaiti
Format:	Article
Published:	Institution of Engineering and Technology 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/87563/ http://dx.doi.org/10.1049/iet-its.2018.5264
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.utm.87563
record_format	eprints
spelling	my.utm.875632020-11-30T09:03:51Z http://eprints.utm.my/id/eprint/87563/ Artificial neural network for modelling of the correlation between lateral acceleration and head movement in a motion sickness study Saruchi, Sarah ‘Atifah Mohammed Ariff, Mohd. Hatta Zamzuri, Hairi Hassan, Nurhaffizah Wahid, Nurbaiti TK Electrical engineering. Electronics Nuclear engineering Motion sickness (MS) usually occurs when travelling in a moving vehicle, and especially experienced by the passengers compared to the driver. The difference in their head movements with respect to the direction of lateral acceleration affects the MS severity level. When experiencing curvature, the passengers normally tilt their head in the same direction as the lateral acceleration, while the driver tilts his/her head against it. This study proposes a correlation model between the lateral acceleration of the vehicle and the head movements of the driver and a passenger via an artificial neural network. Experimental datasets were used in the modelling process. The influence of the number of hidden neurons with respect to the model accuracy has also been investigated. Then, the correlation from the model was expressed as a mathematical equation. This mathematical representation model can be beneficial in the design of vehicle motion control systems in order to mitigate the MS effect. Institution of Engineering and Technology 2019-02-01 Article PeerReviewed Saruchi, Sarah ‘Atifah and Mohammed Ariff, Mohd. Hatta and Zamzuri, Hairi and Hassan, Nurhaffizah and Wahid, Nurbaiti (2019) Artificial neural network for modelling of the correlation between lateral acceleration and head movement in a motion sickness study. IET Intelligent Transport Systems, 13 (2). pp. 269-279. ISSN 1751-956X http://dx.doi.org/10.1049/iet-its.2018.5264 DOI:10.1049/iet-its.2018.5264
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Saruchi, Sarah ‘Atifah Mohammed Ariff, Mohd. Hatta Zamzuri, Hairi Hassan, Nurhaffizah Wahid, Nurbaiti Artificial neural network for modelling of the correlation between lateral acceleration and head movement in a motion sickness study
description	Motion sickness (MS) usually occurs when travelling in a moving vehicle, and especially experienced by the passengers compared to the driver. The difference in their head movements with respect to the direction of lateral acceleration affects the MS severity level. When experiencing curvature, the passengers normally tilt their head in the same direction as the lateral acceleration, while the driver tilts his/her head against it. This study proposes a correlation model between the lateral acceleration of the vehicle and the head movements of the driver and a passenger via an artificial neural network. Experimental datasets were used in the modelling process. The influence of the number of hidden neurons with respect to the model accuracy has also been investigated. Then, the correlation from the model was expressed as a mathematical equation. This mathematical representation model can be beneficial in the design of vehicle motion control systems in order to mitigate the MS effect.
format	Article
author	Saruchi, Sarah ‘Atifah Mohammed Ariff, Mohd. Hatta Zamzuri, Hairi Hassan, Nurhaffizah Wahid, Nurbaiti
author_facet	Saruchi, Sarah ‘Atifah Mohammed Ariff, Mohd. Hatta Zamzuri, Hairi Hassan, Nurhaffizah Wahid, Nurbaiti
author_sort	Saruchi, Sarah ‘Atifah
title	Artificial neural network for modelling of the correlation between lateral acceleration and head movement in a motion sickness study
title_short	Artificial neural network for modelling of the correlation between lateral acceleration and head movement in a motion sickness study
title_full	Artificial neural network for modelling of the correlation between lateral acceleration and head movement in a motion sickness study
title_fullStr	Artificial neural network for modelling of the correlation between lateral acceleration and head movement in a motion sickness study
title_full_unstemmed	Artificial neural network for modelling of the correlation between lateral acceleration and head movement in a motion sickness study
title_sort	artificial neural network for modelling of the correlation between lateral acceleration and head movement in a motion sickness study
publisher	Institution of Engineering and Technology
publishDate	2019
url	http://eprints.utm.my/id/eprint/87563/ http://dx.doi.org/10.1049/iet-its.2018.5264
_version_	1685578955258593280
score	13.211869

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

Similar Items