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

Name: Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data
Brand: Wiley
SKU: 9781118893760
Price: 11016.0 INR
Availability: InStock

by Diane J. Cook

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ISBN13: 9781118893760
Binding: Hardcover
Subject: N/A
Publisher: Wiley
Publisher Imprint: Wiley
Publication Date: March 16, 2015
Pages: 288
Original Price: GBP 98.95
Language: English
Edition: N/A
Item Weight: 599 grams
BISAC Subject(s): Electronics / Digital, Sensors, and Data Science / Data Analytics

About The 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.

About The Author

DIANE J. COOK, PhD, is a professor in the School of Electrical Engineering and Computer Science at Washington State University, USA. Her research relating to artificial intelligence and data mining have been supported by grants from the National Science Foundation, the National Institutes of Health, NASA, DARPA, USAF, NRL, and DHS. She is the co-author of Mining Graph Data and Smart Environments, both published by Wiley. Dr. Cook is an IEEE fellow and a member of AAAI.

NARAYANAN C. KRISHNAN, PhD, is a faculty member of the Department of Computer Science and Engineering at the Indian Institute of Technology Ropar, India. His research focuses on activity recognition, pervasive computing, and applied machine learning. Dr. Krishnan received the gold medal for academic excellence in Masters of Technology in Computer Science in 2004 and was nominated for the Best PhD Thesis Award at Arizona State University in 2010.

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