Activity Learning

Discovering, Recognizing, and Predicting Human Behavior from Sensor Data

Nonfiction, Science & Nature, Technology, Electronics, Digital, Computers, Database Management, Engineering
Cover of the book Activity Learning by Diane J. Cook, Narayanan C. Krishnan, Wiley
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Author: Diane J. Cook, Narayanan C. Krishnan ISBN: 9781119010241
Publisher: Wiley Publication: February 19, 2015
Imprint: Wiley Language: English
Author: Diane J. Cook, Narayanan C. Krishnan
ISBN: 9781119010241
Publisher: Wiley
Publication: February 19, 2015
Imprint: Wiley
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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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