Human Activity Recognition Using Wearable Sensors and Smartphones

• Main Authors: Labrador, Miguel A., Lara Yejas, Oscar D.
• Format: eBook Book
• Language: English
• Published: Boca Raton Chapman and Hall/CRC 2014; CRC Press, Taylor & Francis Group; CRC Press LLC; CRC Press
• Edition: 1
• Series: Chapman & 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
• ISBN: 1466588276; 9781466588271
• DOI: 10.1201/b16098

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.