Computers & Internet Books:

Activity Learning

Discovering, Recognizing, and Predicting Human Behavior from Sensor Data
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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: 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.

Author Biography:

Diane Cook, PhD, is a professor in the School of ElectricalEngineering and Computer Science at Washington StateUniversity. Her research relating to artificial intelligence anddata mining have been supported by grants from the National ScienceFoundation, 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 anIEEE Fellow and a member of AAAI. Narayanan C. Krishnan, PhD, is a faculty member of theDepartment of Computer Science and Engineering at the IndianInstitute of Technology Ropar. His research focuses on activityrecognition, pervasive computing, and applied machine learning. Dr.Krishnan received the gold medal for academic excellence in Mastersof Technology in Computer Science in 2004 and was nominated for theBest PhD Thesis Award at Arizona State University in 2010.
Release date NZ
April 21st, 2015
Audience
  • Professional & Vocational
Pages
288
Dimensions
163x244x24
ISBN-13
9781118893760
Product ID
22482804

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