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050 4 _aTA347.A78
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245 1 0 _aMultimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
_h[electronic resource] :
_b4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers /
_cedited by Friedhelm Schwenker, Stefan Scherer.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aVIII, 161 p. 61 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v10183
505 0 _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.
520 _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.
650 0 _aArtificial intelligence.
650 0 _aUser interfaces (Computer systems).
650 0 _aHuman-computer interaction.
650 0 _aPattern recognition systems.
650 0 _aData mining.
650 1 4 _aArtificial Intelligence.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aAutomated Pattern Recognition.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aSchwenker, Friedhelm.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aScherer, Stefan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319592589
776 0 8 _iPrinted edition:
_z9783319592602
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v10183
856 4 0 _uhttps://doi.org/10.1007/978-3-319-59259-6
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912 _aZDB-2-SXCS
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