LEADER 03974nam 22005295 450 001 9910482986503321 005 20201107220229.0 010 $a3-319-95095-9 024 7 $a10.1007/978-3-319-95095-2 035 $a(CKB)4100000005820468 035 $a(MiAaPQ)EBC5495482 035 $a(DE-He213)978-3-319-95095-2 035 $a(PPN)229915302 035 $a(EXLCZ)994100000005820468 100 $a20180817d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aQuantifying and Processing Biomedical and Behavioral Signals /$fedited by Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (271 pages) $ccolor illustrations 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3018 ;$v103 311 $a3-319-95094-0 320 $aIncludes bibliographical references. 327 $aA Human-Centered Behavioral Informatics -- Wearable Devices for Self-Enhancement and Improvement of Plasticity: Effects on Neurocognitive Efficiency -- Age and Culture Effects on The Ability to Decode Affective Bursts -- N200 ERP Component in Olfactory and Haptic Crossmodal Perception -- Handwriting and Drawing Features for Detecting Negative Moods -- Oressinergic System: Network Between Sympathetic System and Exercise -- Experimental Analysis of In-Air Trajectories at Long Distances in Online Handwriting -- Kendon Model-Based Gesture Recognition Using Hidden Markov Model and Learning Vector Quantization -- A Neural Network to Identify Driving Habits and Compute Car-Sharing Users' Reputation -- Unsupervised Gene Identification in Colorectal Cancer -- Supervised Gene Identification In Colorectal Cancer -- Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition -- A Novel Deep Learning Approach in Hematology for Classification of Leucocytes. 330 $aThe book is based on interdisciplinary research on various aspects and dynamics of human multimodal signal exchanges. It discusses realistic application scenarios where human interaction is the focus, in order to identify new methods for data processing and data flow coordination through synchronization, and optimization of new encoding features combining contextually enacted communicative signals, and develop shared digital data repositories and annotation standards for benchmarking the algorithmic feasibility and successive implementation of believable human?computer interaction (HCI) systems. This book is a valuable resource for a. the research community, PhD students, early stage researchers c. schools, hospitals, and rehabilitation and assisted-living centers e. the ICT market, and representatives from multimedia industries. 410 0$aSmart Innovation, Systems and Technologies,$x2190-3018 ;$v103 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 702 $aEsposito$b Anna$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFaundez-Zanuy$b Marcos$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMorabito$b Francesco Carlo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPasero$b Eros$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910482986503321 996 $aQuantifying and Processing Biomedical and Behavioral Signals$92843815 997 $aUNINA