Characterization of driver neuromuscular dynamics for human-automation collaboration design of automated vehicles

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dc.contributor.authorLv, Chen
dc.contributor.authorWang, Huaji
dc.contributor.authorCao, Dongpu
dc.contributor.authorZhao, Yifan
dc.contributor.authorAuger, Daniel J.
dc.contributor.authorSullman, Mark
dc.contributor.authorMatthias, Rebecca
dc.contributor.authorSkrypchuk, Lee
dc.contributor.authorMouzakitis, Alexandros
dc.date.accessioned2018-04-13T09:10:14Z
dc.date.available2018-04-13T09:10:14Z
dc.date.issued2018-03-05
dc.description.abstractIn order to design an advanced human-automation collaboration system for highly automated vehicles, research into the driver's neuromuscular dynamics is needed. In this paper a dynamic model of drivers' neuromuscular interaction with a steering wheel is firstly established. The transfer function and the natural frequency of the systems are analyzed. In order to identify the key parameters of the driver-steering-wheel interacting system and investigate the system properties under different situations, experiments with driver-in-the-loop are carried out. For each test subject, two steering tasks, namely the passive and active steering tasks, are instructed to be completed. Furthermore, during the experiments, subjects manipulated the steering wheel with two distinct postures and three different hand positions. Based on the experimental results, key parameters of the transfer function model are identified by using the Gauss-Newton algorithm. Based on the estimated model with identified parameters, investigation of system properties is then carried out. The characteristics of the driver neuromuscular system are discussed and compared with respect to different steering tasks, hand positions and driver postures. These experimental results with identified system properties provide a good foundation for the development of a haptic take-over control system for automated vehicles.en_UK
dc.identifier.citationChen Lv, Huaji Wang, Dongpu Cao et al., Characterization of driver neuromuscular dynamics for human-automation collaboration design of automated vehicles. IEEE/ASME Transactions on Mechatronics, available online 5 April 2018en_UK
dc.identifier.issn1083-4435
dc.identifier.urihttp://dx.doi.org/10.1109/TMECH.2018.2812643
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/13143
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectDriver neuromuscular dynamicsen_UK
dc.subjectdriver-vehicle interactionen_UK
dc.subjectsystem identificationen_UK
dc.subjectautomated vehicleen_UK
dc.subjectexperimental characterizationen_UK
dc.titleCharacterization of driver neuromuscular dynamics for human-automation collaboration design of automated vehiclesen_UK
dc.typeArticleen_UK

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