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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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Friedhelm Schwenker

    1. Ulm University, Ulm, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Stefan Scherer

    1. University of Southern California, Playa Vista, USA

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

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

Included in the following conference series:

Conference proceedings info: MPRSS 2018.

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Table of contents (9 papers)

  1. Front Matter

    Pages i-vii
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  2. Multi-focus Image Fusion with PCA Filters of PCANet

    • Xu Song, Xiao-Jun Wu
    Pages 1-17

  3. An Image Captioning Method for Infant Sleeping Environment Diagnosis

    • Xinyi Liu, Mariofanna Milanova
    Pages 18-26

  4. A First-Person Vision Dataset of Office Activities

    • Girmaw Abebe, Andreu Catala, Andrea Cavallaro
    Pages 27-37

  5. Perceptual Judgments to Detect Computer Generated Forged Faces in Social Media

    • Suzan Anwar, Mariofanna Milanova, Mardin Anwer, Anderson Banihirwe
    Pages 38-48

  6. Combining Deep and Hand-Crafted Features for Audio-Based Pain Intensity Classification

    • Patrick Thiam, Friedhelm Schwenker
    Pages 49-58

  7. Deep Learning Algorithms for Emotion Recognition on Low Power Single Board Computers

    • Venkatesh Srinivasan, Sascha Meudt, Friedhelm Schwenker
    Pages 59-70

  8. Improving Audio-Visual Speech Recognition Using Gabor Recurrent Neural Networks

    • Ali S. Saudi, Mahmoud I. Khalil, Hazem M. Abbas
    Pages 71-83

  9. Evolutionary Algorithms for the Design of Neural Network Classifiers for the Classification of Pain Intensity

    • Danila Mamontov, Iana Polonskaia, Alina Skorokhod, Eugene Semenkin, Viktor Kessler, Friedhelm Schwenker
    Pages 84-100

  10. Visualizing Facial Expression Features of Pain and Emotion Data

    • Jan Sellner, Patrick Thiam, Friedhelm Schwenker
    Pages 101-115

  11. Back Matter

    Pages 117-117
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  1. Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Keywords

About this book

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.

Editors and Affiliations

  • Ulm University, Ulm, Germany

    Friedhelm Schwenker

  • University of Southern California, Playa Vista, USA

    Stefan Scherer

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