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Record Nr. |
UNINA9910823616103321 |
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Autore |
Labrador Miguel A. |
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Titolo |
Human activity recognition : using wearable sensors and smartphones / / Miguel A. Labrador, Oscar D. Lara Yejas |
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Pubbl/distr/stampa |
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Boca Raton : , : CRC Press, , [2014] |
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©2014 |
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ISBN |
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0-429-16801-2 |
1-4665-8828-4 |
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Descrizione fisica |
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1 online resource (206 p.) |
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Collana |
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Chapman & Hall/CRC computer & information science series |
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Classificazione |
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COM037000COM051230MAT000000 |
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Disciplina |
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Soggetti |
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Location-based services |
Ubiquitous computing |
Wearable computers |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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 |
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Sommario/riassunto |
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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 |
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