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Smartphone-Based Human Activity Recognition

  • Jorge Luis Reyes Ortiz

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Jorge Luis Reyes Ortiz
    Pages 1-5
  3. Human Activity Recognition Essentials

    1. Front Matter
      Pages 7-7
    2. Jorge Luis Reyes Ortiz
      Pages 9-35
    3. Jorge Luis Reyes Ortiz
      Pages 37-56
  4. Data Collection and Offline Activity Recognition

    1. Front Matter
      Pages 57-57
    2. Jorge Luis Reyes Ortiz
      Pages 59-78
  5. Online Activity Recognition with Smartphones

    1. Front Matter
      Pages 93-93
    2. Jorge Luis Reyes Ortiz
      Pages 95-112
    3. Jorge Luis Reyes Ortiz
      Pages 113-130
    4. Jorge Luis Reyes Ortiz
      Pages 131-133

About this book

Introduction

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.

Keywords

Body Motion Detection HAR Motion Signals Online Activity Recognition Real-time Human Activity Recognition Smartphone Sensors Support Vector Machine Wearable Devices

Authors and affiliations

  • Jorge Luis Reyes Ortiz
    • 1
  1. 1.CETpDUniversitat Politècnica de CatalunyaBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-14274-6
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-14273-9
  • Online ISBN 978-3-319-14274-6
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site