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Human Behavior Unterstanding

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Cover of 'Human Behavior Unterstanding'

Table of Contents

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    Book Overview
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    Chapter 1 Human Behavior Understanding for Inducing Behavioral Change: Application Perspectives
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    Chapter 2 Urban Computing and Smart Cities: Opportunities and Challenges in Modelling Large-Scale Aggregated Human Behavior
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    Chapter 3 Human Action Categorization Using Ultrasound Micro-Doppler Signatures
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    Chapter 4 Sequential Deep Learning for Human Action Recognition
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    Chapter 5 One-Sequence Learning of Human Actions
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    Chapter 6 Analyzing Facial Behavioral Features from Videos
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    Chapter 7 Adaptive Integration of Multiple Cues for Contingency Detection
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    Chapter 8 DTW Based Clustering to Improve Hand Gesture Recognition
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    Chapter 9 Augmenting Social Interactions: Experiments in Socio-emotional Computing
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    Chapter 10 An Energy-Saving Support System for Office Environments
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    Chapter 11 From Stress Awareness to Coping Strategies of Medical Staff: Supporting Reflection on Physiological Data
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    Chapter 12 Why Won’t You Do What’s Good for You? Using Intelligent Support for Behavior Change
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    Chapter 13 A Research Framework for Playful Persuasion Based on Psychological Needs and Bodily Interaction
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    Chapter 14 Automatic Modeling of Dominance Effects Using Granger Causality
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    Chapter 15 Abnormal Crowd Behavior Detection by Social Force Optimization
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    Chapter 16 Understanding the Influence of Social Interactions on Individual’s Behavior Pattern in a Work Environment
Attention for Chapter 14: Automatic Modeling of Dominance Effects Using Granger Causality
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Citations

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Chapter title
Automatic Modeling of Dominance Effects Using Granger Causality
Chapter number 14
Book title
Human Behavior Understanding
Published by
Springer, Berlin, Heidelberg, November 2011
DOI 10.1007/978-3-642-25446-8_14
Book ISBNs
978-3-64-225445-1, 978-3-64-225446-8
Authors

Kyriaki Kalimeri, Bruno Lepri, Taemie Kim, Fabio Pianesi, Alex Sandy Pentland, Kalimeri, Kyriaki, Lepri, Bruno, Kim, Taemie, Pianesi, Fabio, Pentland, Alex Sandy

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 78%
Researcher 1 11%
Student > Master 1 11%
Readers by discipline Count As %
Computer Science 3 33%
Psychology 3 33%
Social Sciences 1 11%
Neuroscience 1 11%
Engineering 1 11%
Other 0 0%