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Human activity recognition : using wearable sensors and smartphones / / Miguel A. Labrador, Oscar D. Lara Yejas



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Autore: Labrador Miguel A. Visualizza persona
Titolo: Human activity recognition : using wearable sensors and smartphones / / Miguel A. Labrador, Oscar D. Lara Yejas Visualizza cluster
Pubblicazione: Boca Raton : , : CRC Press, , [2014]
©2014
Descrizione fisica: 1 online resource (206 p.)
Disciplina: 681.2
681/.2
Soggetto topico: Location-based services
Ubiquitous computing
Wearable computers
Classificazione: COM037000COM051230MAT000000
Persona (resp. second.): Lara YejasOscar D.
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 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 ApplicationsChapter 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
Sommario/riassunto: 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 physiological data. Human Activity Recognition: Using Wearable Sensors and Smartphones focuses on the automatic identification of human activities from pervasive wearable sensors-a crucial component for health monitoring and also applicable to other areas, such as entertainment and tactical operations. Developed fr
Titolo autorizzato: Human activity recognition  Visualizza cluster
ISBN: 0-429-16801-2
1-4665-8828-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910823616103321
Lo trovi qui: Univ. Federico II
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Serie: Chapman & Hall/CRC computer and information science series.