Human Activity Recognition Using Wearable Sensors and Smartphones

Developed from the authors' nearly four years of rigorous research in the field, this book covers the theory, fundamentals, and applications of human activity recognition (HAR). The authors examine how machine learning and pattern recognition tools help determine a user's activity during a...

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Bibliographic Details
Main Authors Labrador, Miguel A., Lara Yejas, Oscar D.
Format eBook Book
LanguageEnglish
Published Boca Raton Chapman and Hall/CRC 2014
CRC Press, Taylor & Francis Group
CRC Press LLC
CRC Press
Edition1
SeriesChapman & Hall/CRC computer & information science series
Subjects
Location-based services
Ubiquitous computing
Wearable computers
Tcp
Stat Ic
ALR
Bluetooth Device
Import Java
Gps Sensor
Semi-supervised Learning
Android Software Development Kit
Android Operating System
Activity Recognition System
Young Men
Human Activity Recognition Model
Android Applications
Android Smartphone
HAR System
Public Void
Mobile Application User Interface
AVD
SQLite Database
Android Platform
Dalvik Virtual Machine
HAR
Data Link Layer Frame
Acceleration Signals
FE
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ISBN1466588276
9781466588271
DOI10.1201/b16098

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Summary:Developed from the authors' nearly four years of rigorous research in the field, this book covers the theory, fundamentals, and applications of human activity recognition (HAR). The authors examine how machine learning and pattern recognition tools help determine a user's activity during a certain period of time. They propose two systems for performing HAR: Centinela, an offline server-oriented HAR system, and Vigilante, a completely mobile real-time activity recognition system. The book also provides a practical guide to the development of activity recognition applications in the Android framework.
Bibliography:Includes bibliographical references (p. 175-184) and index
ISBN:1466588276
9781466588271
DOI:10.1201/b16098