04859nam 2201225z- 450 991055728840332120210501(CKB)5400000000041156(oapen)https://directory.doabooks.org/handle/20.500.12854/68631(oapen)doab68631(EXLCZ)99540000000004115620202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierStatistical Machine Learning for Human Behaviour AnalysisBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (300 p.)3-03936-228-3 3-03936-229-1 This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.History of engineering and technologybicssc3D convolutional neural networksaccuracyaction recognitionadaptive classifiersage classificationattention allocationattention behaviorbiometric recognitionblurring detectionbody movementsboundary segmentationcategorical datacommittee of classifiersconcept driftcontext-aware frameworkconvolutional neural networkdeep learningdiscrete stationary wavelet transformemotion recognitionEmpatica E4ensemble methodsface analysisface segmentationfalse negative ratefibromyalgiafingerprint image enhancementfingerprint qualityfoggy imagefrequency domaingait eventgender classificationgestureshand sign languagehead pose estimationhybrid entropyindividual behavior estimationinformation entropyinterpretable machine learningk-means clusteringKinect sensorLearning Using Concave and Convex Kernelsmulti-modalmulti-objective evolutionary algorithmsmultimodal-based human identificationneural networksnoisy imageobject contour detectionprivacyprivacy-awareprofoundly deafrecurrent conceptsrestricted Boltzmann machine (RBM)rule-based classifierssaliency detectionself-reported surveysilhouettes differencesingle pixel single photon image acquisitionsingular point detectionspatial domainspectrogramsspeechspeech emotion recognitionstatistical-based time-frequency domain and crowd conditionstock price direction predictiontime-of-flighttoe-off detectionHistory of engineering and technologyMoeslund Thomasedt1324788Escalera SergioedtAnbarjafari GholamrezaedtNasrollahi KamaledtWan JunedtMoeslund ThomasothEscalera SergioothAnbarjafari GholamrezaothNasrollahi KamalothWan JunothBOOK9910557288403321Statistical Machine Learning for Human Behaviour Analysis3036300UNINA