Human Activity Recognition : Using Wearable Sensors and Smartphones.

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Learn How to Design and Implement HAR Systems The pervasiveness and range of capabilities of today's mobile devices have enabled a wide spectrum of mobile applications that are transforming our daily lives, from smartphones equipped with GPS to integrated mobile sensors that acquire physiologic...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Labrador, Miguel A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chapman and Hall/CRC, 2013.
Colección:Chapman & Hall/CRC computer and information science series.
Temas:
Location-based services.
Ubiquitous computing.
Wearable computers.
Services basés sur la localisation.
Informatique omniprésente.
Ordinateurs-vêtements.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Front Cover
  • Contents
  • List of Figures
  • List of Tables
  • Preface
  • Part I: Human Activity Recognition: Theory Fundamentals
  • Chapter 1: Introduction
  • Chapter 2: Human Activity Recognition
  • Chapter 3: State of the Art in HAR Systems
  • Chapter 4: Incorporating Physiological Signals to Improve Activity Recognition Accuracy
  • Chapter 5: Enabling Real-Time Activity Recognition
  • Chapter 6: New Fusion and Selection Strategies in Multiple Classifier Systems
  • Chapter 7: Conclusions
  • Part II: HAR in an Android Smartphone: A Practical Guide
  • Chapter 8: Introduction to Android
  • Chapter 9: Getting Ready to Develop Android Applications
  • Chapter 10: Using the Smartphone's Sensors
  • Chapter 11: Bluetooth Connectivity in Android
  • Chapter 12: Saving and Retrieving Data in an Android Smartphone
  • Chapter 13: Feature Extraction
  • Chapter 14: Real-Time Classification in Smartphones Using WEKA
  • Bibliography
  • Back Cover.

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