Search results for "driver fatigue"

showing 3 items of 3 documents

Network Entropy for the Sequence Analysis of Functional Connectivity Graphs of the Brain

2018

Dynamic representation of functional brain networks involved in the sequence analysis of functional connectivity graphs of the brain (FCGB) gains advances in uncovering evolved interaction mechanisms. However, most of the networks, even the event-related ones, are highly heterogeneous due to spurious interactions, which bring challenges to revealing the change patterns of interactive information in the complex dynamic process. In this paper, we propose a network entropy (NE) method to measure connectivity uncertainty of FCGB sequences to alleviate the spurious interaction problem in dynamic network analysis to realize associations with different events during a complex cognitive task. The p…

Dynamic network analysisComputer scienceGeneral Physics and Astronomylcsh:Astrophysicsentropiata3112Measure (mathematics)Articleevent-related analysis050105 experimental psychology03 medical and health sciences0302 clinical medicinelcsh:QB460-4660501 psychology and cognitive sciencesAdjacency matrixdriver fatiguelcsh:ScienceSpurious relationshipRepresentation (mathematics)Event (probability theory)ta113Sequencebrain networkverkkoteoria05 social sciencesnetwork entropy; connectivity; brain network; dynamic network analysis; event-related analysis; driver fatiguelcsh:QC1-999connectivityProbability distributionlcsh:Qdynamic network analysisaivotnetwork entropyAlgorithmlcsh:Physics030217 neurology & neurosurgeryEntropy; Volume 20; Issue 5; Pages: 311
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Sleep and sleepiness in shift-working tram drivers

2020

Driver sleepiness contributes to traffic accidents. However, sleepiness in urban public transport remains an understudied subject. To fill this gap, we examined the sleepiness, sleep, and on-duty sleepiness countermeasures (SCMs) in 23 tram drivers working morning, day, and evening shifts for three weeks. Sleepiness was measured using Karolinska Sleepiness Scale (KSS). Nocturnal total sleep time (TST) was measured with wrist actigraphy. SCMs and naps were self-reported with a smartphone application. Caffeine and napping were considered effective SCMs. Severe sleepiness (KSS >= 7) was observed in 22% of shifts with no differences between shift types. Rest breaks were associated with slight r…

MaleSleepinessTime FactorsväsymysTransportationAudiologySmartphone applicationFATIGUEunettomuusROAD0302 clinical medicineWork Schedule Tolerance11. SustainabilityMedicineSafety Risk Reliability and Quality050107 human factorsSleep lossMorningRISKkuljettajatraitiovaununkuljettajatREST05 social sciencesAccidents TrafficHAULMiddle Aged030210 environmental & occupational health3142 Public health care science environmental and occupational healthvuorotyöFemaleSleep (system call)Sleep lossAdultAutomobile DrivingCAFFEINEmedicine.medical_specialtyEvening515 Psychologyurban transportationPhysical Therapy Sports Therapy and RehabilitationHuman Factors and ErgonomicsINDIVIDUAL-DIFFERENCESsleep lossuni (lepotila)03 medical and health sciencesSleep Disorders Circadian RhythmCOUNTERMEASURESHumans0501 psychology and cognitive sciencesdriver fatigueEngineering (miscellaneous)unihäiriötbusiness.industryUrban transportationActigraphySleep timeDriver fatigueUrban transportationkaupunkiliikenneliikenneonnettomuudetSleepbusiness
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The prediction of three driving quality states of simulated driving by psychophysiological variables with sleep-deprived subjects

2005

sykeväsymysheart rateajokykydriving performanceEEGdriver fatiguesleepinesseye blinkpsykofysiologia
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