Activity learning : discovering, recognizing, and predicting human behavior from sensor data

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 sens...

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Bibliographic Details
Main Authors: Cook, Diane J., Krishnan, Narayanan C.
Format: eBook Book
Language:English
Published: Hoboken, N.J Wiley 2015
John Wiley & Sons, Incorporated
Wiley-Blackwell
John Wiley & Sons, Inc
Edition:1
Series:Wiley series on parallel and distributed computing
Subjects:
Active learning
Active learning > Data processing
COMPUTERS / Database Management / Data Mining
COMPUTERS / Database Management / Data Mining. bisacsh
Data mining
Data processing
Detectors
Detectors > Data processing
Human-computer interaction
Multisensor data fusion
Sensor networks
TECHNOLOGY & ENGINEERING / Electronics / Digital
TECHNOLOGY & ENGINEERING / Electronics / Digital. bisacsh
TECHNOLOGY & ENGINEERING / Sensors
TECHNOLOGY & ENGINEERING / Sensors. bisacsh
ISBN:9781118893760, 111889376X, 9781119010241, 1119010241, 9781119010234, 1119010233
Online Access:Get full text
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Summary: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.
Bibliography:Includes bibliographical references (p. 237-251) and index
Versions from some providers lack index.
ISBN:9781118893760
111889376X
9781119010241
1119010241
9781119010234
1119010233
DOI:10.1002/9781119010258