大葉大學圖書館 |

Smartphone-based human activity recognition[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3
書名/作者:	Smartphone-based human activity recognition/ by Jorge Luis Reyes Ortiz.
作者:	Ortiz, Jorge Luis Reyes.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xxiii, 133 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Human activity recognition.
標題:	Smartphones.
標題:	Location-based services.
標題:	Engineering.
標題:	Signal, Image and Speech Processing.
標題:	User Interfaces and Human Computer Interaction.
標題:	Robotics and Automation.
ISBN:	9783319142746 (electronic bk.)
ISBN:	9783319142739 (paper)
內容註:	Human Activity Recognition Essentials -- Data Collection and Offline Activity Recognition -- Online Activity Recognition with Smartphones.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-14274-6

Smartphone-based human activity recognition[electronic resource] /
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:

549181
Human activity recognition.

LC Class. No.: TK7882.P7

Dewey Class. No.: 006.3

Smartphone-based human activity recognition[electronic resource] /
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