Human Behavior Understanding
Second International Workshop, HBU 2011, Amsterdam, The Netherlands, November 16, 2011, Proceedings
Published on 10. November 2011
X, 159 pages
978-3-642-25446-8 (ISBN)
Description
This book constitutes the refereed proceedings of the Second International Workshop on Human Behavior Understanding, HBU 2011, held in Amsterdam, The Netherlands, in November 2011, in conjunction with AmI-11, the International Joint Conference on Ambient Intelligence.
The 13 revised full papers presented together with 2 keynote talks and one summarizing paper were carefully reviewed and selected from 32 submissions. The papers are organized in topical sections on analysis of human actions and activities, face and gesture analysis, persuasive technologies, and social interactions.
The 13 revised full papers presented together with 2 keynote talks and one summarizing paper were carefully reviewed and selected from 32 submissions. The papers are organized in topical sections on analysis of human actions and activities, face and gesture analysis, persuasive technologies, and social interactions.
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Albert Ali Salah | Bruno Lepri
Human Behavior Understanding
Second International Workshop, HBU 2011, Amsterdam, The Netherlands, November 16, 2011, Proceedings
Book
11/2011
Springer
€53.49
Shipment within 7-9 days
Content
- Intro
- Title page
- Preface
- Organization
- Table of Contents
- Human Behavior Understanding for Inducing Behavioral Change: Application Perspectives
- Introduction
- Taxonomies
- Pervasive Sensing
- Vision and Audio
- Mobile Phones as Social Sensors
- Wearables, Brain-Computer Interfaces, and Other Sensing Devices
- Ambient Settings and Immersive Platforms
- Virtual Settings
- Applications
- Healthcare and Wellbeing
- Serious Gaming
- Marketing
- Energy Saving and Sustainability
- Conclusions
- References
- Analysis of Human Actions and Activities
- Urban Computing and Smart Cities: Opportunities and Challenges in Modelling Large-Scale Aggregated Human Behavior
- Extended Abstract
- Human Action Categorization Using Ultrasound Micro-Doppler Signatures
- Introduction
- Methods
- Acquisition Hardware
- Data Collection
- Data Processing
- Results
- Discussion
- References
- Sequential Deep Learning for Human Action Recognition
- Introduction and Related Work
- Deep Learning of Spatio-Temporal Features
- Convolutional Neural Networks (ConvNets)
- Automated Space-Time Feature Construction with 3D-ConvNets
- Sequence Labelling Considering the Temporal Evolution of Learned Features
- Experiments on KTH Dataset
- Evaluation Protocol
- Experimental Results
- Conclusion and Discussion
- References
- One-Sequence Learning of Human Actions
- Introduction
- Previous Work
- Fuzzy Observation Variables (FO)
- Fuzzy Observation HMM (FO-HMM)
- Experiments
- Conclusions
- References
- Face and Gesture Analysis
- Analyzing Facial Behavioral Features from Videos
- Introduction
- Psychophysics of Face Perception from Videos
- Use of Facial Dynamics in Computer Vision
- Spatiotemporal versus Static Image Analysis
- Static Image Based Approach
- Spatiotemporal Based Approach
- Experiments on Face Recognition
- Experiments on Gender Recognition
- Experiments on Age Estimation
- Experiments on Ethnicity Classification
- Discussion and Conclusions
- References
- Adaptive Integration of Multiple Cues for Contingency Detection
- Introduction
- Related Work
- Approach
- Cue Representation
- Change Detection
- Evaluating the Dissimilarity Score
- Multi-cue Integration
- Cue Integration at the Module Level
- Cue Integration at the Decision Level
- Data Collection
- Model Building and Evaluation
- Experiment
- Conclusion
- References
- DTW Based Clustering to Improve Hand Gesture Recognition
- Introduction
- Graphical Models for Hand Gesture Recognition
- Clustering Time Series
- Time Series Clustering Methodology
- Feature Selection
- Clustering Methods
- Hand Gesture Modeling
- Hidden Markov Models
- Hidden Conditional Random Fields
- Input-Output HMMs
- Hidden Semi Markov Models
- Experiments
- Gesture Dataset
- Training Methods
- Parameter Optimization
- Results
- Conclusion
- References
- Persuasive Technologies
- Augmenting Social Interactions: Experiments in Socio-emotional Computing
- An Energy-Saving Support System for Office Environments
- Introduction
- Related Work
- System
- Concept
- Implementation
- Study
- Design
- Participants
- Results and Discussion
- Conclusion and Outlook
- References
- From Stress Awareness to Coping Strategies of Medical Staff: Supporting Reflectionon Physiological Data
- Introduction
- Study Design
- Target Context
- Sensor Equipement
- Ethnographically Informed Study
- Reflection Interview
- Examining Stressful Events
- Results
- ECG and Activity Data
- Recognizing Stress and Identifying Stressors
- Application and Sensor Usability
- Replacing Existing Coping Strategies
- Conclusion
- References
- Why Won't You Do What's Good for You? Using Intelligent Support for Behavior Change
- Introduction
- Approaches for Intelligent Coaching and Mobile Persuasion
- Modelling Behavior Change
- Theories on Behavior Change
- Integrated Model: COMBI
- Formalization and Simulations
- Implementation
- The eMate System
- Model-Based Reasoning
- Questions and Messages
- Discussion and Conclusions
- References
- A Research Framework for Playful Persuasion Based on Psychological Needs and Bodily Interaction
- Introduction
- A Four-Leveled Framework
- Transformation
- Experience
- Interaction
- System
- Discussion
- Conclusion
- References
- Social Interactions
- Automatic Modeling of Dominance Effects Using Granger Causality
- Introduction
- Twenty-Question Game Dataset
- Dominance
- Performance
- Our Approach
- Experimental Results
- Conclusion
- References
- Abnormal Crowd Behavior Detection by Social Force Optimization
- Introduction
- Fundamentals of the Computational Methods
- Particle Swarm Optimization (PSO)
- Social Force Model
- Our Approach
- Computing the Fitness Function Using SFM and PSO
- Anomaly Detection
- Experimental Results and Comparisons
- Conclusions
- References
- Understanding the Influence of Social Interactions on Individual's Behavior Pattern in a Work Environment
- Introduction
- Related Work
- Overview
- Human Tracking and Interaction Detection
- Identification
- Tracking
- Interaction Detection
- Learning Behavior Patterns
- Comparing Behaviors
- Experimental Results
- Conclusion and Future Work
- References
- Author Index
