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
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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Series: Wiley Series on Parallel and Distributed Computing
Hardcover: 288 pages
Publisher: Wiley; 1 edition (February 23, 2015)
Language: English
ISBN-10: 111889376X
ISBN-13: 978-1118893760
Product Dimensions: 6.4 x 0.9 x 9.6 inches
Shipping Weight: 1.3 pounds


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