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

5th IAPR TC 9 Workshop, MPRSS 2018, Beijing, China, August 20, 2018, Revised Selected Papers

  • Friedhelm Schwenker
  • Stefan Scherer
Conference proceedings MPRSS 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11377)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11377)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Xu Song, Xiao-Jun Wu
    Pages 1-17
  3. Girmaw Abebe, Andreu Catala, Andrea Cavallaro
    Pages 27-37
  4. Suzan Anwar, Mariofanna Milanova, Mardin Anwer, Anderson Banihirwe
    Pages 38-48
  5. Venkatesh Srinivasan, Sascha Meudt, Friedhelm Schwenker
    Pages 59-70
  6. Ali S. Saudi, Mahmoud I. Khalil, Hazem M. Abbas
    Pages 71-83
  7. Danila Mamontov, Iana Polonskaia, Alina Skorokhod, Eugene Semenkin, Viktor Kessler, Friedhelm Schwenker
    Pages 84-100
  8. Jan Sellner, Patrick Thiam, Friedhelm Schwenker
    Pages 101-115
  9. Back Matter
    Pages 117-117

About these proceedings

Introduction

This book constitutes the refereed post-workshop proceedings of the 5th IAPR TC9 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2018, held in Beijing, China, in August 2018. 
The 10 revised papers presented in this book focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition and pain intensity estimation, especially the question how to distinguish between human emotions from pain or stress induced by pain is discussed.

Keywords

human computer interaction artificial intelligence machine learning algorithms computer vision life and medical science multimedia and multimodal retrieval face recognition user interfaces imaging systems

Editors and affiliations

  • Friedhelm Schwenker
    • 1
  • Stefan Scherer
    • 2
  1. 1.Ulm UniversityUlmGermany
  2. 2.University of Southern CaliforniaPlaya VistaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-20984-1
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-20983-4
  • Online ISBN 978-3-030-20984-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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