LEADER 04568nam 2201417z- 450 001 9910619469003321 005 20231214132949.0 010 $a3-0365-5074-7 035 $a(CKB)5670000000391584 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/93177 035 $a(EXLCZ)995670000000391584 100 $a20202210d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Sensors for Human Motion Analysis 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (382 p.) 311 $a3-0365-5073-9 330 $aThe 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. 606 $aTechnology: general issues$2bicssc 606 $aHistory of engineering & technology$2bicssc 610 $agait recognition 610 $abiometrics 610 $aregularized discriminant analysis 610 $aparticle swarm optimization 610 $agrey wolf optimization 610 $awhale optimization algorithm 610 $aFMCW 610 $avital sign 610 $aXGBoost 610 $aMFCC 610 $aCOVID-19 610 $a3D human pose estimation 610 $adeep learning 610 $ageneralization 610 $aoptical sensing principle 610 $amodular sensing unit 610 $aplantar pressure measurement 610 $agait parameters 610 $a3D human mesh reconstruction 610 $adeep neural network 610 $amotion capture 610 $aneural networks 610 $areconstruction 610 $agap filling 610 $aFFNN 610 $aLSTM 610 $aBILSTM 610 $aGRU 610 $apose estimation 610 $amovement tracking 610 $acomputer vision 610 $aartificial intelligence 610 $amarkerless motion capture 610 $aassessment 610 $akinematics 610 $adevelopment 610 $amachine learning 610 $ahuman action recognition 610 $afeatures fusion 610 $afeatures selection 610 $arecognition 610 $afall risk detection 610 $abalance 610 $aBerg Balance Scale 610 $ahuman tracking 610 $aelderly 610 $atelemedicine 610 $adiagnosis 610 $aprecedence indicator 610 $aknowledge measure 610 $afuzzy inference 610 $arule induction 610 $aposture detection 610 $aaggregation function 610 $amarkerless 610 $ahuman motion analysis 610 $agait analysis 610 $adata augmentation 610 $askeletal data 610 $atime series classification 610 $aEMG 610 $apattern recognition 610 $arobot 610 $acyber-physical systems 610 $aRGB-D sensors 610 $ahuman motion modelling 610 $aF-Formation 610 $aKinect v2 610 $aAzure Kinect 610 $aZed 2i 610 $asocially occupied space 610 $afacial expression recognition 610 $afacial landmarks 610 $aaction units 610 $aconvolutional neural networks 610 $agraph convolutional networks 610 $aartifact classification 610 $aartifact detection 610 $aanomaly detection 610 $a3D multi-person pose estimation 610 $aabsolute poses 610 $acamera-centric coordinates 610 $adeep-learning 615 7$aTechnology: general issues 615 7$aHistory of engineering & technology 700 $aKrzeszowski$b Tomasz$4edt$01314140 702 $aS?witon?ski$b Adam$4edt 702 $aKepski$b Michal$4edt 702 $aCalafate$b Carlos Tavares$4edt 702 $aKrzeszowski$b Tomasz$4oth 702 $aS?witon?ski$b Adam$4oth 702 $aKepski$b Michal$4oth 702 $aCalafate$b Carlos Tavares$4oth 906 $aBOOK 912 $a9910619469003321 996 $aIntelligent Sensors for Human Motion Analysis$93031756 997 $aUNINA