University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Personalized Driver Workload Inference by Learning From Vehicle Related Measurements

Simple item page
dc.contributor.authorYi, Dewei
dc.contributor.authorSu, Jinya
dc.contributor.authorLiu, Cunjia
dc.contributor.authorChen, Wen-Hua
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.date.accessioned2020-04-10T09:00:01Z
dc.date.available2020-04-10T09:00:01Z
dc.date.issued2019-01
dc.descriptionThis work was supported by the U.K. Engineering and Physical Sciences Research Council Autonomous and Intelligent Systems Programme with BAE Systems as the leading industrial partner under Grant EP/J011525/1. The work of D. Yi was supported by the Chinese Scholarship Council.en
dc.description.statusPeer revieweden
dc.format.extent10
dc.format.extent1725891
dc.identifier160304860
dc.identifier24ab597f-833e-4753-9638-bfbbeb7a6896
dc.identifier85037630899
dc.identifier.citationYi, D, Su, J, Liu, C & Chen, W-H 2019, 'Personalized Driver Workload Inference by Learning From Vehicle Related Measurements', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 1, pp. 159-168. https://doi.org/10.1109/TSMC.2017.2764263en
dc.identifier.doi10.1109/TSMC.2017.2764263
dc.identifier.iss1en
dc.identifier.otherORCID: /0000-0003-1702-9136/work/51754411
dc.identifier.otherORCID: /0000-0002-3121-7208/work/112496152
dc.identifier.urihttps://hdl.handle.net/2164/14008
dc.identifier.urlhttps://repository.lboro.ac.uk/articles/Personalized_driver_workload_inference_by_learning_from_vehicle_related_measurements/9224741en
dc.identifier.vol49en
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Systems, Man, and Cybernetics: Systemsen
dc.subjectFuzzy C-means (FCM) clusteringen
dc.subjectpersonalized aidingen
dc.subjectsupport vector machine (SVM)en
dc.subjectworkload recognitionen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/J011525/1en
dc.subject.lccQA75en
dc.titlePersonalized Driver Workload Inference by Learning From Vehicle Related Measurementsen
dc.typeJournal articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Yi_et_al_IEEETSMCS_PersonalizedDriverWorkload_VoR.pdf
Size:
1.65 MB
Format:
Adobe Portable Document Format
Download

Collections

All research