Search results for "WLDA"

showing 2 items of 2 documents

How neurophysiological measures can be used to enhance the evaluation of remote tower solutions

2019

New solutions in operational environments are often, among objective measurements, evaluated by using subjective assessment and judgment from experts. Anyhow, it has been demonstrated that subjective measures suffer from poor resolution due to a high intra and inter-operator variability. Also, performance measures, if available, could provide just partial information, since an operator could achieve the same performance but experiencing a different workload. In this study, we aimed to demonstrate: (i) the higher resolution of neurophysiological measures in comparison to subjective ones; and (ii) how the simultaneous employment of neurophysiological measures and behavioral ones could allow a…

Computer scienceApplied psychologyJudgementElectroencephalographyasSWLDA050105 experimental psychologylcsh:RC321-571Arousal03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineasSWLDA; ECG; EEG; eye blink; GSR; machine learning; mental workload; remote tower air traffic managementRemote Tower Air Traffic Managementmedicine0501 psychology and cognitive sciencesGSREEGlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryOriginal ResearchMental Workloadmedicine.diagnostic_testECG[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesHuman NeuroscienceWorkloadNeurophysiologyAir traffic controlPsychiatry and Mental healthNeuropsychology and Physiological Psychologymachine learningNeurologyDesign processSkin conductance030217 neurology & neurosurgeryEye blink
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A Spatial Pyramidal Decomposition Method for ear representation using local dual cross patterns

2019

International audience; In recent years, several scientific works are oriented to develop optimal ear representation, for ear recognition, which is discriminant, compact, and easyto-implement to ensure the best performance in terms of accuracy, computation cost, and storage requirement. In this manner, this paper presents a novel ear representation based on texture analysis framework, which relies mainly on Dual Cross Pattern (DCP) descriptor and Spatial Pyramid Histogram (SPH) method. The features are extracted using DCP descriptor to capture the textural structure then, the SPH of horizontal ear decomposition is applied to obtain the local information. The feature vector representations o…

WLDA[SPI] Engineering Sciences [physics]SPHComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRECOGNITIOND-LDCPGeneralLiterature_MISCELLANEOUSEar recognition[SPI]Engineering Sciences [physics]ComputingMethodologies_PATTERNRECOGNITIONlcsh:Electrical engineering. Electronics. Nuclear engineeringLDCPlcsh:TK1-9971K-NN
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