LEADER 04142nam 22006975 450 001 996466177503316 005 20230317134251.0 010 $a3-319-59259-9 024 7 $a10.1007/978-3-319-59259-6 035 $a(CKB)4340000000061542 035 $a(DE-He213)978-3-319-59259-6 035 $a(MiAaPQ)EBC6282890 035 $a(MiAaPQ)EBC5576415 035 $a(Au-PeEL)EBL5576415 035 $a(OCoLC)989723852 035 $a(PPN)201471418 035 $a(EXLCZ)994340000000061542 100 $a20170531d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultimodal Pattern Recognition of Social Signals in Human-Computer-Interaction$b[electronic resource] $e4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers /$fedited by Friedhelm Schwenker, Stefan Scherer 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (VIII, 161 p. 61 illus.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v10183 300 $aIncludes index. 311 $a3-319-59258-0 327 $aActive Shape Model Vs. Deep Learning for Facial Emotion Recognition in Security -- Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes -- Human Mobility-Pattern Discovery and Next-Place Prediction from GPS data -- Fusion Architectures for Multimodal Cognitive Load Recognition -- Face Recognition in Home Security System Using Tensor Decomposition Based on Radix Hierarchical SVD -- Performance analysis of gesture recognition classifiers for building a human robot interface -- On Automatic Question Answering Using Efficient Primal-dual Models -- Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition -- Audio Visual Speech Recognition Using Deep Recurrent Neural Networks -- Audio-Visual Recognition of Pain Intensity -- The Sense Emotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System -- Photometric Stereo for 3D face reconstruction using non linear illumination models -- Recursively Measured Action Units. 330 $aThis book constitutes the thoroughly refereed post-workshop proceedings of the Fourth IAPR TC9 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2016, held in Cancun, Mexico, in December 2016. The 13 revised papers presented focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition, user identification, and recognition of human activities. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v10183 606 $aArtificial intelligence 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aPattern recognition systems 606 $aData mining 606 $aArtificial Intelligence 606 $aUser Interfaces and Human Computer Interaction 606 $aAutomated Pattern Recognition 606 $aData Mining and Knowledge Discovery 615 0$aArtificial intelligence. 615 0$aUser interfaces (Computer systems). 615 0$aHuman-computer interaction. 615 0$aPattern recognition systems. 615 0$aData mining. 615 14$aArtificial Intelligence. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aAutomated Pattern Recognition. 615 24$aData Mining and Knowledge Discovery. 676 $a006.4 702 $aSchwenker$b Friedhelm$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aScherer$b Stefan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466177503316 996 $aMultimodal Pattern Recognition of Social Signals in Human-Computer-Interaction$92511940 997 $aUNISA