Modeling of occupant’s head movement behavior in motion sickness study via time delay neural network

Passengers are more susceptible to experiencing motion sickness (MS) than drivers. The difference in the severity of MS is due to their different head movement behavior during curve driving. When negotiating a curve, the passengers tilt their heads towards the lateral acceleration direction while th...

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Bibliographic Details
Main Authors: Ariff, M.H.M (Author), Hassan, N. (Author), Saruchi, S.A (Author), Wahid, N. (Author), Zamzuri, H. (Author)
Format: Article
Language:English
Published: SAGE Publications Ltd, 2020
Subjects:
Online Access:View Fulltext in Publisher
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LEADER 02485nam a2200373Ia 4500
001 10.1177-0037549719862864
008 220121s2020 CNT 000 0 und d
020 |a 00375497 (ISSN) 
245 1 0 |a Modeling of occupant’s head movement behavior in motion sickness study via time delay neural network 
260 0 |b SAGE Publications Ltd,  |c 2020 
650 0 4 |a Acceleration 
650 0 4 |a correlation model 
650 0 4 |a Correlation modeling 
650 0 4 |a Diseases 
650 0 4 |a head movement predictor 
650 0 4 |a Head movements 
650 0 4 |a head roll 
650 0 4 |a lateral acceleration 
650 0 4 |a Lateral acceleration 
650 0 4 |a Motion sickness 
650 0 4 |a Neural networks 
650 0 4 |a Time delay 
650 0 4 |a time delay neural network 
650 0 4 |a Time delay neural networks 
650 0 4 |a Timing circuits 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1177/0037549719862864 
856 |z View in Scopus  |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070445353&doi=10.1177%2f0037549719862864&partnerID=40&md5=66578b39c8a8f3c21c16cc672cb073c9 
520 3 |a Passengers are more susceptible to experiencing motion sickness (MS) than drivers. The difference in the severity of MS is due to their different head movement behavior during curve driving. When negotiating a curve, the passengers tilt their heads towards the lateral acceleration direction while the drivers tilt their heads against it. Thus, to reduce the passengers’ level of MS, they need to reduce their head’s tilting angle towards the lateral acceleration direction. Designing MS minimization strategies is easier if the correlation between the head movement and lateral acceleration is known mathematically. Therefore, this paper proposes the utilization of a time delay neural network (TDNN) to model the correlation of the occupant’s head movement and lateral acceleration. An experiment was conducted to gather real-time data for the modeling process. The results show that TDNN manages to model the correlation by producing a similar output response to the actual response. Thus, it is expected that the correlation model could be used as an occupant’s head movement predictor tool in future studies of MS. © The Author(s) 2019. 
700 1 0 |a Ariff, M.H.M.  |e author 
700 1 0 |a Hassan, N.  |e author 
700 1 0 |a Saruchi, S.A.  |e author 
700 1 0 |a Wahid, N.  |e author 
700 1 0 |a Zamzuri, H.  |e author 
773 |t Simulation  |x 00375497 (ISSN)  |g 96 2, 131-140