Lingua: Inglese
Editore: Morgan & Claypool Publishers, 2014
ISBN 10: 1627053905 ISBN 13: 9781627053907
Da: suffolkbooks, Center moriches, NY, U.S.A.
paperback. Condizione: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2014
ISBN 10: 3031794524 ISBN 13: 9783031794520
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2014
ISBN 10: 3031794524 ISBN 13: 9783031794520
Da: moluna, Greven, Germania
EUR 37,61
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Aggiungi al carrelloCondizione: New. The dramatic progress of smartphone technologies has ushered in a new era of mobile sensing, where traditional wearable on-body sensors are being rapidly superseded by various embedded sensors in our smartphones. For example, a typical smartphone today, has.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Mai 2014, 2014
ISBN 10: 3031794524 ISBN 13: 9783031794520
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 35,30
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -The dramatic progress of smartphone technologies has ushered in a new era of mobile sensing, where traditional wearable on-body sensors are being rapidly superseded by various embedded sensors in our smartphones. For example, a typical smartphone today, has at the very least a GPS, WiFi, Bluetooth, triaxial accelerometer, and gyroscope. Alongside, new accessories are emerging such as proximity, magnetometer, barometer, temperature, and pressure sensors. Even the default microphone can act as an acoustic sensor to track noise exposure for example. These sensors act as a ''lens'' to understand the user's context along different dimensions.Data can be passively collected from these sensors without interrupting the user. As a result, this new era of mobile sensing has fueled significant interest in understanding what can be extracted from such sensor data both instantaneously as well as considering volumes of time series from these sensors. For example, GPS logs can be used to determine automatically the significant places associated to a user's life (e.g., home, office, shopping areas). The logs may also reveal travel patterns, and how a user moves from one place to another (e.g., driving or using public transport). These may be used to proactively inform the user about delays, relevant promotions from shops, in his ''regular'' route. Similarly, accelerometer logs can be used to measure a user's average walking speed, compute step counts, gait identification, and estimate calories burnt per day. The key objective is to provide better services to end users.The objective of this book is to inform the reader of the methodologies and techniques for extracting meaningful information (called ''semantics'') from sensors on our smartphones. These techniques form the cornerstone of several application areas utilizing smartphone sensor data. We discuss technical challenges and algorithmic solutions for modeling and mining knowledge from smartphone-resident sensor data streams. This book devotes two chapters to dive deep into a set of highly available, commoditized sensors---the positioning sensor (GPS) and motion sensor (accelerometer). Furthermore, this book has a chapter devoted to energy-efficient computation of semantics, as battery life is a major concern on user experience.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 144 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2014
ISBN 10: 3031794524 ISBN 13: 9783031794520
Da: Rarewaves.com UK, London, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 142 pages. 9.25x7.51x9.25 inches. In Stock. This item is printed on demand.
Da: Majestic Books, Hounslow, Regno Unito
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Lingua: Inglese
Editore: Springer International Publishing Mai 2014, 2014
ISBN 10: 3031794524 ISBN 13: 9783031794520
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 35,30
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The dramatic progress of smartphone technologies has ushered in a new era of mobile sensing, where traditional wearable on-body sensors are being rapidly superseded by various embedded sensors in our smartphones. For example, a typical smartphone today, has at the very least a GPS, WiFi, Bluetooth, triaxial accelerometer, and gyroscope. Alongside, new accessories are emerging such as proximity, magnetometer, barometer, temperature, and pressure sensors. Even the default microphone can act as an acoustic sensor to track noise exposure for example. These sensors act as a ''lens'' to understand the user's context along different dimensions.Data can be passively collected from these sensors without interrupting the user. As a result, this new era of mobile sensing has fueled significant interest in understanding what can be extracted from such sensor data both instantaneously as well as considering volumes of time series from these sensors. For example, GPS logs can be used to determine automatically the significant places associated to a user's life (e.g., home, office, shopping areas). The logs may also reveal travel patterns, and how a user moves from one place to another (e.g., driving or using public transport). These may be used to proactively inform the user about delays, relevant promotions from shops, in his ''regular'' route. Similarly, accelerometer logs can be used to measure a user's average walking speed, compute step counts, gait identification, and estimate calories burnt per day. The key objective is to provide better services to end users.The objective of this book is to inform the reader of the methodologies and techniques for extracting meaningful information (called ''semantics'') from sensors on our smartphones. These techniques form the cornerstone of several application areas utilizing smartphone sensor data. We discuss technical challenges and algorithmic solutions for modeling and mining knowledge from smartphone-resident sensor data streams. This book devotes two chapters to dive deep into a set of highly available, commoditized sensors---the positioning sensor (GPS) and motion sensor (accelerometer). Furthermore, this book has a chapter devoted to energy-efficient computation of semantics, as battery life is a major concern on user experience. 144 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 50,65
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.