Activity Learning
eBook - ePub

Activity Learning

Discovering, Recognizing, and Predicting Human Behavior from Sensor Data

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Activity Learning

Discovering, Recognizing, and Predicting Human Behavior from Sensor Data

About this book

Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field

Activity Learning: Discovering, Recognizing and Predicting Human Behavior from Sensor Data provides an in-depth look at computational approaches to activity learning from sensor data. Each chapter is constructed to provide practical, step-by-step information on how to analyze and process sensor data. The book discusses techniques for activity learning that include the following:

  • Discovering activity patterns that emerge from behavior-based sensor data
  • Recognizing occurrences of predefined or discovered activities in real time
  • Predicting the occurrences of activities

The techniques covered can be applied to numerous fields, including security, telecommunications, healthcare, smart grids, and home automation. An online companion site enables readers to experiment with the techniques described in the book, and to adapt or enhance the techniques for their own use. With an emphasis on computational approaches, Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data provides graduate students and researchers with an algorithmic perspective to activity learning.

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Yes, you can access Activity Learning by Diane J. Cook,Narayanan C. Krishnan in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Data Mining. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Series
  3. Title Page
  4. Copyright
  5. Table of Contents
  6. Preface
  7. List of Figures
  8. Chapter 1: Introduction
  9. Chapter 2: Activities
  10. Chapter 3: Sensing
  11. Chapter 4: Machine Learning
  12. Chapter 5: Activity Recognition
  13. Chapter 6: Activity Discovery
  14. Chapter 7: Activity Prediction
  15. Chapter 8: Activity Learning in the Wild
  16. Chapter 9: Applications of Activity Learning
  17. Chapter 10: The Future of Activity Learning
  18. Appendix
  19. Bibliography
  20. Index
  21. Series
  22. End User License Agreement