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Intelligent Sensors for Human Motion Analysis

dc.contributor.editorKrzeszowski, Tomasz
dc.contributor.editorŚwitoński, Adam
dc.contributor.editorKepski, Michal
dc.contributor.editorCalafate, Carlos Tavares
dc.date.accessioned2022-10-25T09:00:35Z
dc.date.available2022-10-25T09:00:35Z
dc.date.issued2022
dc.identifierONIX_20221025_9783036550732_31
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/93177
dc.description.abstractThe book, "Intelligent Sensors for Human Motion Analysis," contains 17 articles published in the Special Issue of the Sensors journal. These articles deal with many aspects related to the analysis of human movement. New techniques and methods for pose estimation, gait recognition, and fall detection have been proposed and verified. Some of them will trigger further research, and some may become the backbone of commercial systems.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.othergait recognition
dc.subject.otherbiometrics
dc.subject.otherregularized discriminant analysis
dc.subject.otherparticle swarm optimization
dc.subject.othergrey wolf optimization
dc.subject.otherwhale optimization algorithm
dc.subject.otherFMCW
dc.subject.othervital sign
dc.subject.otherXGBoost
dc.subject.otherMFCC
dc.subject.otherCOVID-19
dc.subject.other3D human pose estimation
dc.subject.otherdeep learning
dc.subject.othergeneralization
dc.subject.otheroptical sensing principle
dc.subject.othermodular sensing unit
dc.subject.otherplantar pressure measurement
dc.subject.othergait parameters
dc.subject.other3D human mesh reconstruction
dc.subject.otherdeep neural network
dc.subject.othermotion capture
dc.subject.otherneural networks
dc.subject.otherreconstruction
dc.subject.othergap filling
dc.subject.otherFFNN
dc.subject.otherLSTM
dc.subject.otherBILSTM
dc.subject.otherGRU
dc.subject.otherpose estimation
dc.subject.othermovement tracking
dc.subject.othercomputer vision
dc.subject.otherartificial intelligence
dc.subject.othermarkerless motion capture
dc.subject.otherassessment
dc.subject.otherkinematics
dc.subject.otherdevelopment
dc.subject.othermachine learning
dc.subject.otherhuman action recognition
dc.subject.otherfeatures fusion
dc.subject.otherfeatures selection
dc.subject.otherrecognition
dc.subject.otherfall risk detection
dc.subject.otherbalance
dc.subject.otherBerg Balance Scale
dc.subject.otherhuman tracking
dc.subject.otherelderly
dc.subject.othertelemedicine
dc.subject.otherdiagnosis
dc.subject.otherprecedence indicator
dc.subject.otherknowledge measure
dc.subject.otherfuzzy inference
dc.subject.otherrule induction
dc.subject.otherposture detection
dc.subject.otheraggregation function
dc.subject.othermarkerless
dc.subject.otherhuman motion analysis
dc.subject.othergait analysis
dc.subject.otherdata augmentation
dc.subject.otherskeletal data
dc.subject.othertime series classification
dc.subject.otherEMG
dc.subject.otherpattern recognition
dc.subject.otherrobot
dc.subject.othercyber-physical systems
dc.subject.otherRGB-D sensors
dc.subject.otherhuman motion modelling
dc.subject.otherF-Formation
dc.subject.otherKinect v2
dc.subject.otherAzure Kinect
dc.subject.otherZed 2i
dc.subject.othersocially occupied space
dc.subject.otherfacial expression recognition
dc.subject.otherfacial landmarks
dc.subject.otheraction units
dc.subject.otherconvolutional neural networks
dc.subject.othergraph convolutional networks
dc.subject.otherartifact classification
dc.subject.otherartifact detection
dc.subject.otheranomaly detection
dc.subject.other3D multi-person pose estimation
dc.subject.otherabsolute poses
dc.subject.othercamera-centric coordinates
dc.subject.otherdeep-learning
dc.subject.othern/a
dc.titleIntelligent Sensors for Human Motion Analysis
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-5074-9
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036550732
oapen.relation.isbn9783036550749
oapen.pages382


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