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Smartphone-based human activity reco...

Ortiz, Jorge Luis Reyes.

Smartphone-based human activity recognition

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smartphone-based human activity recognitionby Jorge Luis Reyes Ortiz.
Author:	Ortiz, Jorge Luis Reyes.
Published:	Cham :Springer International Publishing :2015.
Description:	xxiii, 133 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Human activity recognition.
Online resource:	http://dx.doi.org/10.1007/978-3-319-14274-6
ISBN:	9783319142746 (electronic bk.)

Smartphone-based human activity recognition
Ortiz, Jorge Luis Reyes.

Smartphone-based human activity recognition[electronic resource] /by Jorge Luis Reyes Ortiz. - Cham :Springer International Publishing :2015. - xxiii, 133 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

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

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 Politecnica de Catalunya (primary institution) and University of Genoa (secondary institution) as part of the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments.

ISBN: 9783319142746 (electronic bk.)

Standard No.: 10.1007/978-3-319-14274-6doiSubjects--Topical Terms:

514230
Human activity recognition.

LC Class. No.: TK7882.P7

Dewey Class. No.: 006.3

Smartphone-based human activity recognition
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100 1 $a Ortiz, Jorge Luis Reyes. $3 713605
245 1 0 $a Smartphone-based human activity recognition $h [electronic resource] / $c by Jorge Luis Reyes Ortiz.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xxiii, 133 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5053
505 0 $a Human Activity Recognition Essentials -- Data Collection and Offline Activity Recognition -- Online Activity Recognition with Smartphones.
520 $a 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 Politecnica de Catalunya (primary institution) and University of Genoa (secondary institution) as part of the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments.
650 0 $a Human activity recognition. $3 514230
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650 0 $a Location-based services. $3 509754
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650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a User Interfaces and Human Computer Interaction. $3 274517
650 2 4 $a Robotics and Automation. $3 357111
710 2 $a SpringerLink (Online service) $3 273601
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