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

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More About This Book

Overview
Product Details
Meet the Author

Overview

This book provides a comprehensive description of activity learning with techniques, details on existing algorithms, and case studies of technique applications to sensor datasets. Each chapter is constructed to provide practical, step by step information on how to analyze and process sensor data.

Discusses potential real-world complications and provides step-by-step methods to manage or offset them
Includes case studies, coded examples, and data sets for the reader's use
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

Product Details

ISBN-13: 9781118893760
Publisher: Wiley
Publication date: 3/2/2015
Series: Wiley Series on Parallel and Distributed Computing Series
Edition number: 1
Pages: 300

Meet the Author

Diane Cook, PhD, is a professor in the School of Electrical Engineering and Computer Science at Washington State University. 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. 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.