Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data Contributor(s): Cook, Diane J. (Author), Krishnan, Narayanan C. (Author) |
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ISBN: 111889376X ISBN-13: 9781118893760 Publisher: Wiley
Binding Type: Hardcover - See All Available Formats & Editions Published: March 2015 Click for more in this series: Wiley Parallel and Distributed Computing |
Additional Information |
BISAC Categories: - Technology & Engineering | Electronics - Digital - Technology & Engineering | Sensors - Computers | Databases - Data Mining |
Dewey: 371.3 |
LCCN: 2014039501 |
Series: Wiley Parallel and Distributed Computing |
Physical Information: 1" H x 6.2" W x 9.3" L (1.32 lbs) 288 pages |
Features: Annotated, Bibliography, Illustrated, Index |
Descriptions, Reviews, Etc. |
Publisher Description: 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. |
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