You are previewing Human Behavior Recognition Technologies.
O'Reilly logo
Human Behavior Recognition Technologies

Book Description

Recently, the ICT field has seen a shift from machine-centered focuses to human and user knowledge-based approaches. However, as priorities shift, questions arise on how to detect and monitor users’ behavior. Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security takes an insightful look into the applications and dependability of behavior detection. In addition, this comprehensive publication looks into the social, ethical, and legal implications of these areas. Researchers and practitioners interested in the computational aspects of behavior monitoring as well as the ethical and legal implications will find this reference source beneficial.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. List of Reviewers
  5. Preface
  6. Chapter 1: A Logic-Based Approach to Activity Recognition
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. THE EVENT CALCULUS
    4. 3. SHORT-TERM ACTIVITIES
    5. 4. LONG-TERM ACTIVITY DEFINITIONS
    6. 5. EXPERIMENTAL RESULTS
    7. 6. DISCUSSION
  7. Chapter 2: Context-Aware Discovery of Human Frequent Behaviours through Sensor Information Interpretation
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. ARCHITECTURE
    5. TRANSFORMATION LAYER
    6. LEARNING LAYER
    7. APPLICATION LAYER
    8. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
  8. Chapter 3: Towards Ontology-Based Realtime Behaviour Interpretation
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BEHAVIOUR MODELLING
    4. 3. GENERATING A SCENE INTERPRETATION SYSTEM FROM THE ONTOLOGY
    5. 4. A PROBABILISTIC PREFERENCE MODEL
    6. 5. INTERPRETING AIRCRAFT TURNAROUNDS
    7. 6. CONCLUSION AND OUTLOOK
  9. Chapter 4: Novelty Detection in Human Behavior through Analysis of Energy Utilization
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. CASAS SMART ENVIRONMENT
    5. ENERGY ANALYSIS
    6. ENERGY PREDICTION
    7. ENERGY TREND AND ANOMALY DETECTION
    8. CONCLUSION
  10. Chapter 5: Towards Behaviour Recognition with Unlabelled Sensor Data
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. TOKENS: A REPRESENTATION OF SENSOR OUTPUT
    4. 3. EXTRACTING BEHAVIOURS FROM UNLABELLED TOKEN SEQUENCES
    5. 4. ADDING SUPERVISED LEARNING
    6. 5. EXPERIMENTS WITH REAL SMART HOME DATA
    7. 6. CONCLUSION
  11. Chapter 6: Tracking Systems for Multiple Smart Home Residents
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. SENSOR PLATFORM AND DATA
    4. 3. CASAS TESTBEDS
    5. 4. APPROACHES
    6. 5. CONCLUSION
    7. 6. FUTURE WORK
  12. Chapter 7: Sensors for Smart Homes
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. CHARACTERISTICS OF SMART SENSORS FOR HOME MONITORING
    4. 3. DIFFERENT SENSORS USED FOR HOME MONITORING
    5. 4. A CASE STUDY: DESIGN OF A SMART HOME MONITORING SYSTEM
    6. 5. CONCLUSION
  13. Chapter 8: Behaviour Monitoring and Interpretation
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. THE BMI FRAMEWORK
    4. 3. USER BEHAVIOURS WHILE NAVIGATING
    5. 4. CONSEQUENCES FOR THE BMI FRAMEWORK
    6. 5. DISCUSSION
  14. Chapter 9: Intention-Based Decision Making via Intention Recognition and its Applications
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. INTENTION-BASED DECISION MAKING
    5. AMBIENT INTELLIGENCE IN THE HOME ENVIRONMENT AND ELDER CARE
    6. OTHER DOMAINS: INTENTION-BASED DECISION MAKING IN MORAL REASONING AND GAME THEORY
    7. CONCLUSION AND FUTURE WORK
  15. Chapter 10: Clustering Algorithm for Human Behavior Recognition Based on Biosignal Analysis
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. CEPSTRAL COEFFICIENTS ALGORITHM
    5. RESULTS
    6. VALIDATION
    7. NOISE IMMUNITY TEST
    8. CONCLUSION
  16. Chapter 11: Monitoring Social Life and Interactions
    1. ABSTRACT
    2. INTRODUCTION
    3. THE SOCIOLOGICAL PERSPECTIVE OF TECHNOLOGY
    4. TECHNOLOGIES OF SOCIAL INTERACTION AND HUMAN-TECHNOLOGIES RELATIONS
    5. SOCIAL NETWORKS AND TECHNOLOGIES OF COMMUNICATION
    6. TECHNOLOGIES OF SURVEILLANCE AND SOCIETAL CONTROL
    7. FINAL REMARKS ON SOCIAL ASSESSMENT OF PERVASIVE TECHNOLOGIES
  17. Chapter 12: Action Detection by Fusing Hierarchically Filtered Motion with Spatiotemporal Interest Point Features
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. FUSION OF MULTIPLE SPATIOTEMPORAL INTEREST POINT FEATURES
    5. ACTION DETECTION BY COMBINING GAUSSIAN MIXTURE MODELS WITH BRANCH-AND-BOUND SEARCH
    6. EXPERIMENTAL RESULTS OF ACTION DETECTION
    7. CONCLUSION
  18. Chapter 13: From Streams of Observations to Knowledge-Level Productive Predictions
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. SCENARIO
    4. 3. SEQUENCE ABSTRACTION NETWORKS
    5. 4. LEARNING PRODUCTIVE RULE SETS WITH IGOR
    6. 5. COMBINATION
    7. 6. CONCLUSION
  19. Chapter 14: Improving the Supervised Learning of Activity Classifiers for Human Motion Data
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN THRUST
    5. RESULTS
    6. DISCUSSION
    7. CONCLUSION AND FUTURE WORK
  20. Chapter 15: Motion and Location-Based Online Human Daily Activity Recognition
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. HARDWARE PLATFORM OVERVIEW
    4. 3. OVERVIEW OF ACTIVITY RECOGNITION
    5. 4. EXPERIMENTAL RESULTS
    6. 5. CONCLUSION AND FUTURE WORK
  21. Compilation of References
  22. About the Contributors