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

First IAPR TC3 Workshop, MPRSS 2012, Tsukuba, Japan, November 11, 2012, Revised Selected Papers

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Friedhelm Schwenker

    1. Institute of Neural Information Processing, Ulm University, Ulm, Germany

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  2. Stefan Scherer

    1. Institute for Creative Technologies, Multimodal Communication and Computation Laboratory, University of Southern California, Playa Vista, USA

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  3. Louis-Philippe Morency

    1. Institute for Creative Technologies, Multimodal Communication and Computation Laboratory, University of Southern California, Playa Vista, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7742)

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

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Conference proceedings info: MPRSS 2012.

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Table of contents (13 papers)

  1. Front Matter

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  2. Modelling Social Signals

    1. Generative Modelling of Dyadic Conversations: Characterization of Pragmatic Skills During Development Age

      • Anna Pesarin, Monja Tait, Alessandro Vinciarelli, Cristina Segalin, Giovanni Bilancia, Marco Cristani
      Pages 1-8

    2. Social Coordination Assessment: Distinguishing between Shape and Timing

      • Emilie Delaherche, Sofiane Boucenna, Koby Karp, Stéphane Michelet, Catherine Achard, Mohamed Chetouani
      Pages 9-18

  3. Social Signals in Facial Expressions

    1. A Novel LDA and HMM-Based Technique for Emotion Recognition from Facial Expressions

      • Akhil Bansal, Santanu Chaudhary, Sumantra Dutta Roy
      Pages 19-26

    2. Generation of Facial Expression for Communication Using Elfoid with Projector

      • Maiya Hori, Hideki Takakura, Hiroki Yoshimura, Yoshio Iwai
      Pages 27-34

    3. Eye Localization from Infrared Thermal Images

      • Shangfei Wang, Peijia Shen, Zhilei Liu
      Pages 35-42

  4. Analysis of Speech and Physiological Speech

    1. The Effect of Fuzzy Training Targets on Voice Quality Classification

      • Stefan Scherer, John Kane, Christer Gobl, Friedhelm Schwenker
      Pages 43-51

    2. Physiological Effects of Delayed System Response Time on Skin Conductance

      • David Hrabal, Christin Kohrs, André Brechmann, Jun-Wen Tan, Stefanie Rukavina, Harald C. Traue
      Pages 52-62

    3. A Non-invasive Multi-sensor Capturing System for Human Physiological and Behavioral Responses Analysis

      • Senya Polikovsky, Maria Alejandra Quiros-Ramirez, Takehisa Onisawa, Yoshinari Kameda, Yuichi Ohta
      Pages 63-70

  5. Motion Analysis and Activity Recognition

    1. 3D Motion Estimation of Human Body from Video with Dynamic Camera Work

      • Matsumoto Ayumi, Wu Xiaojun, Kawamura Harumi, Kojima Akira
      Pages 71-78

    2. Motion History of Skeletal Volumes and Temporal Change in Bounding Volume Fusion for Human Action Recognition

      • Abubakrelsedik Karali, Mohammed ElHelw
      Pages 79-87

    3. Multi-view Multi-modal Gait Based Human Identity Recognition from Surveillance Videos

      • Emdad Hossain, Girija Chetty, Roland Goecke
      Pages 88-99

  6. Multimodal Fusion

    1. Using the Transferable Belief Model for Multimodal Input Fusion in Companion Systems

      • Felix Schüssel, Frank Honold, Michael Weber
      Pages 100-115

    2. Fusion of Fragmentary Classifier Decisions for Affective State Recognition

      • Gerald Krell, Michael Glodek, Axel Panning, Ingo Siegert, Bernd Michaelis, Andreas Wendemuth et al.
      Pages 116-130

  7. Back Matter

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

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About this book

This book constitutes the thoroughly refereed post-workshop proceedings of the First IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction (MPRSS2012), held in Tsukuba, Japan in November 2012, in collaboration with the NLGD Festival of Games. The 21 revised papers presented during the workshop cover topics on facial expression recognition, audiovisual emotion recognition, multimodal Information fusion architectures, learning from unlabeled and partially labeled data, learning of time series, companion technologies and robotics.

Editors and Affiliations

  • Institute of Neural Information Processing, Ulm University, Ulm, Germany

    Friedhelm Schwenker

  • Institute for Creative Technologies, Multimodal Communication and Computation Laboratory, University of Southern California, Playa Vista, USA

    Stefan Scherer, Louis-Philippe Morency

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