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020 _a9783319950952
024 7 _a10.1007/978-3-319-95095-2
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aR857 .S47
_b2019 EB
245 0 0 _aQuantifying and processing biomedical and behavioral signals
_cedited by Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019
300 _a1 recurso en línea (XI, 274 páginas)
_b83 ilustraciones, 65 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aSmart Innovation Systems and Technologies
_x2190-3018
_v103
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _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.
520 3 _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.
988 _aPrimersemestre_2019_Robotics
650 7 _2embne
_9150609
_aProceso digital de señales
650 7 _2embne
_aInteracción hombre-ordenador
_9155848
650 7 _2embne
_aCiencias biomédicas
_xProceso de datos
_9143729
700 1 _aEsposito, Anna.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_918068
700 1 _aFaundez-Zanuy, Marcos.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_915054
700 1 _aMorabito, Francesco Carlo.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_998354
700 1 _aPasero, Eros.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_999436
776 0 8 _iPrinted edition:
_z9783319950945
776 0 8 _iPrinted edition:
_z9783319950969
776 0 8 _iPrinted edition:
_z9783030069766
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-95095-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
_ggw
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_b10/2019
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