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Springer Theses

Smartphone-Based Human Activity Recognition

Authors: Reyes Ortiz, Jorge Luis

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  • Nominated as an outstanding PhD theses by the University of Genoa
  • Thesis jointly supervised by the Universitat Politècnica de Catalunya and University of Genoa
  • Proposes a method for performing real-time recognition of human activities with current smartphone technologies
  • Makes the readers familiar with fundamental concepts and current research works in the field of human activity recognition
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eBook $99.00
price for USA in USD
  • ISBN 978-3-319-14274-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
Softcover $129.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: November 11, 2016
  • ISBN 978-3-319-36770-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
About this book

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.

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $99.00
price for USA in USD
  • ISBN 978-3-319-14274-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
Softcover $129.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: November 11, 2016
  • ISBN 978-3-319-36770-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
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Bibliographic Information

Bibliographic Information
Book Title
Smartphone-Based Human Activity Recognition
Authors
Series Title
Springer Theses
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-14274-6
DOI
10.1007/978-3-319-14274-6
Hardcover ISBN
978-3-319-14273-9
Softcover ISBN
978-3-319-36770-5
Series ISSN
2190-5053
Edition Number
1
Number of Pages
XXIII, 133
Number of Illustrations
29 b/w illustrations, 2 illustrations in colour
Topics