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Smartphone-Based Human Activity Recognition

Jorge Luis Reyes Ortiz (Autor)

Buch | Hardcover

XXIII, 133 Seiten

2015 | 2015
Springer International Publishing (Verlag)
978-3-319-14273-9 (ISBN)

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The book reports on the author's original work to address the use of today's state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies. As well as a detailed description of the methods, this book also provides readers with a comprehensive review of the fundamental concepts in human activity recognition. It also gives an accurate analysis of the most influential works in the field and discusses them in detail. This thesis was supervised by both the Universitat Politècnica de Catalunya (primary institution) and University of Genoa (secondary institution) as part of the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments .

Human Activity Recognition Essentials.- Data Collection and Offline Activity Recognition.- Online Activity Recognition with Smartphones.

Erscheint lt. Verlag	26.1.2015
Reihe/Serie	Springer Theses
Zusatzinfo	XXIII, 133 p. 31 illus., 2 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	409 g
Themenwelt	Informatik ► Software Entwicklung ► User Interfaces (HCI)
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Body Motion Detection • HAR • Motion Signals • Online Activity Recognition • Real-time Human Activity Recognition • Smartphone Sensors • Support Vector Machine • Wearable Devices
ISBN-10	3-319-14273-9 / 3319142739
ISBN-13	978-3-319-14273-9 / 9783319142739
Zustand	Neuware