Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data

Diane J. Cook,Narayanan C. Krishnan

Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data
Format
Hardback
Publisher
John Wiley & Sons Inc
Country
United States
Published
21 April 2015
Pages
288
ISBN
9781118893760

Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data

Diane J. Cook,Narayanan C. Krishnan

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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