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Affective Computing and Intelligent Interaction

First International Conference, ACII 2005, Beijing, China, October 22-24, 2005, Proceedings

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  • © 2005
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Editors:
  1. Jianhua Tao

    1. National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences

  2. Tieniu Tan

    1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

  3. Rosalind W. Picard

    1. MIT Media Laboratory, Cambridge, USA

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3784)

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Conference proceedings info: ACII 2005.

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About this book

This volume contains the proceedings of the 1st International Conference on A?ective Computing and Intelligent Interaction (ACII 2005) held in Beijing, China, on 22–24 October 2005. Traditionally, the machine end of human–machine interaction has been very passive, and certainly has had no means of recognizing or expressing a?ective information. But without the ability to process such information, computers cannot be expected to communicate with humans in a natural way. The ability to recognize and express a?ect is one of the most important features of - man beings. We therefore expect that computers will eventually have to have the ability to process a?ect and to interact with human users in ways that are similar to those in which humans interact with each other. A?ective computing and intelligent interaction is a key emerging technology that focuses on m- iad aspects of the recognition, understanding, and expression of a?ective and emotional states by computers. The topic is currently a highly active research area and is receiving increasing attention. This strong interest is driven by a wide spectrum of promising applications such as virtual reality, network games, smart surveillance, perceptual interfaces, etc. A?ective computing and intelligent interaction is a multidisciplinary topic, involving psychology, cognitive science, physiology and computer science. ACII 2005 provided a forum for scientists and engineers to exchange their technical results and experiences in this fast-moving and exciting ?eld. A total of 45 oral papers and 82 poster papers included in this volume were selected from 205 c- tributionssubmittedbyresearchersworldwide.

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Table of contents (126 papers)

  1. Front Matter

    Download chapter PDF

  2. Affective Face and Gesture Processing

    1. Gesture-Based Affective Computing on Motion Capture Data

      • Asha Kapur, Ajay Kapur, Naznin Virji-Babul, George Tzanetakis, Peter F. Driessen
      Pages 1-7

    2. Expression Recognition Using Elastic Graph Matching

      • Yujia Cao, Wenming Zheng, Li Zhao, Cairong Zhou
      Pages 8-15

    3. The Bunch-Active Shape Model

      • Jingcai Fan, Hongxun Yao, Wen Gao, Yazhou Liu, Xin Liu
      Pages 16-23

    4. Facial Signs of Affect During Tutoring Sessions

      • Dirk Heylen, Mattijs Ghijsen, Anton Nijholt, Rieks op den Akker
      Pages 24-31

    5. Towards Unsupervised Detection of Affective Body Posture Nuances

      • P. Ravindra De Silva, Andrea Kleinsmith, Nadia Bianchi-Berthouze
      Pages 32-39

    6. Face Alignment Under Various Poses and Expressions

      • Shengjun Xin, Haizhou Ai
      Pages 40-47

    7. A Voting Method and Its Application in Precise Object Location

      • Yong Gao, Xinshan Zhu, Xiangsheng Huang, Yangsheng Wang
      Pages 48-55

    8. Face Tracking Using Mean-Shift Algorithm: A Fuzzy Approach for Boundary Detection

      • Farhad Dadgostar, Abdolhossein Sarrafzadeh, Scott P. Overmyer
      Pages 56-63

    9. Modelling Nonrigid Object from Video Sequence Under Perspective Projection

      • Guanghui Wang, Yantao Tian, Guoqiang Sun
      Pages 64-71

    10. Sketch Based Facial Expression Recognition Using Graphics Hardware

      • Jiajun Bu, Mingli Song, Qi Wu, Chun Chen, Cheng Jin
      Pages 72-79

    11. Case-Based Facial Action Units Recognition Using Interactive Genetic Algorithm

      • Shangfei Wang, Jia Xue
      Pages 80-87

    12. Facial Expression Recognition Using HLAC Features and WPCA

      • Fang Liu, Zhi-liang Wang, Li Wang, Xiu-yan Meng
      Pages 88-94

    13. Motion Normalization

      • Yan Gao, Lizhuang Ma, Zhihua Chen, Xiaomao Wu
      Pages 95-101

    14. Fusing Face and Body Display for Bi-modal Emotion Recognition: Single Frame Analysis and Multi-frame Post Integration

      • Hatice Gunes, Massimo Piccardi
      Pages 102-111

    15. A Composite Method to Extract Eye Contour

      • Ke Sun, Hong Wang
      Pages 112-118

    16. Simulated Annealing Based Hand Tracking in a Discrete Space

      • Wei Liang, Yunde Jia, Yang Liu, Cheng Ge
      Pages 119-126

    17. Modulation of Attention by Faces Expressing Emotion: Evidence from Visual Marking

      • Fang Hao, Hang Zhang, Xiaolan Fu
      Pages 127-134

    18. An Intelligent Algorithm for Enhancing Contrast for Image Based on Discrete Stationary Wavelet Transform and In-complete Beta Transform

      • Changjiang Zhang, Xiaodong Wang, Haoran Zhang
      Pages 135-143

    19. Automatic Facial Expression Recognition Using Linear and Nonlinear Holistic Spatial Analysis

      • Rui Ma, Jiaxin Wang
      Pages 144-151
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  1. Affective Computing and Intelligent Interaction

Editors and Affiliations

  • National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences

    Jianhua Tao

  • National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  • MIT Media Laboratory, Cambridge, USA

    Rosalind W. Picard

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