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Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Friedhelm Schwenker

    1. Universität Ulm, Ulm, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Stefan Scherer

    1. Multimodal Communication and Computation, University of Southern California, Playa Vista, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10183)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: MPRSS 2016.

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Table of contents (13 papers)

  1. Front Matter

    Pages I-VIII
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  2. Active Shape Model vs. Deep Learning for Facial Emotion Recognition in Security

    • Monica Bebawy, Suzan Anwar, Mariofanna Milanova
    Pages 1-11

  3. Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes

    • Dennis Held, Sascha Meudt, Friedhelm Schwenker
    Pages 12-23

  4. Human Mobility-Pattern Discovery and Next-Place Prediction from GPS Data

    • Faina Khoroshevsky, Boaz Lerner
    Pages 24-35

  5. Fusion Architectures for Multimodal Cognitive Load Recognition

    • Daniel Kindsvater, Sascha Meudt, Friedhelm Schwenker
    Pages 36-47

  6. Face Recognition in Home Security System Using Tensor Decomposition Based on Radix-(2 × 2) Hierarchical SVD

    • Roumen Kountchev, Suzan Anwar, Roumiana Kountcheva, Mariofanna Milanova
    Pages 48-59

  7. Performance Analysis of Gesture Recognition Classifiers for Building a Human Robot Interface

    • Tiziana D’Orazio, Nicola Mosca, Roberto Marani, Grazia Cicirelli
    Pages 60-72

  8. On Automatic Question Answering Using Efficient Primal-Dual Models

    • Yusuf Osmanlıoğlu, Ali Shokoufandeh
    Pages 73-84

  9. Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition

    • Wen Sun, Chunfeng Yuan, Pei Wang, Shuang Yang, Weiming Hu, Zhaoquan Cai
    Pages 85-97

  10. Audio Visual Speech Recognition Using Deep Recurrent Neural Networks

    • Abhinav Thanda, Shankar M. Venkatesan
    Pages 98-109

  11. Audio-Visual Recognition of Pain Intensity

    • Patrick Thiam, Viktor Kessler, Steffen Walter, Günther Palm, Friedhelm Schwenker
    Pages 110-126

  12. The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System

    • Maria Velana, Sascha Gruss, Georg Layher, Patrick Thiam, Yan Zhang, Daniel Schork et al.
    Pages 127-139

  13. Photometric Stereo for 3D Face Reconstruction Using Non Linear Illumination Models

    • Barbara Villarini, Athanasios Gkelias, Vasilios Argyriou
    Pages 140-152

  14. Recursively Measured Action Units

    • Xiang Xiang, Trac D. Tran
    Pages 153-159

  15. Back Matter

    Pages 161-161
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  1. Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Keywords

About this book

This 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.

Editors and Affiliations

  • Universität Ulm, Ulm, Germany

    Friedhelm Schwenker

  • Multimodal Communication and Computation, University of Southern California, Playa Vista, USA

    Stefan Scherer

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