Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction First IAPR TC3 Workshop, MPRSS 2012, Tsukuba, Japan, November 11, 2012, Revised Selected Papers /
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...
Corporate Author: | |
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Other Authors: | , , |
Format: | Electronic |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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Series: | Lecture Notes in Computer Science,
7742 |
Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-37081-6 |
Table of Contents:
- Modelling Social Signals
- Generative Modelling of Dyadic Conversations: Characterization of Pragmatic Skills During Development Age
- Social Coordination Assessment: Distinguishing between Shape and Timing
- Social Signals in Facial Expressions
- A Novel LDA and HMM-Based Technique for Emotion Recognition from Facial Expressions
- Generation of Facial Expression for Communication Using Elfoid with Projector
- Eye Localization from Infrared Thermal Images
- Analysis of Speech and Physiological Speech
- The Effect of Fuzzy Training Targets on Voice Quality Classification
- Physiological Effects of Delayed System Response Time on Skin Conductance
- A Non-invasive Multi-sensor Capturing System for Human Physiological and Behavioral Responses Analysis
- Motion Analysis and Activity Recognition
- 3D Motion Estimation of Human Body from Video with Dynamic Camera Work
- Motion History of Skeletal Volumes and Temporal Change in Bounding Volume Fusion for Human Action Recognition
- Multi-view Multi-modal Gait Based Human Identity Recognition from Surveillance Videos
- Multimodal Fusion
- Using the Transferable Belief Model for Multimodal Input Fusion in Companion Systems
- Fusion of Fragmentary Classifier Decisions for Affective State Recognition.