LEADER 03486oam  2200661I  450 
001 9910823616103321
005 20170821200318.0
010   $a0-429-16801-2
010   $a1-4665-8828-4
024 7 $a10.1201/b16098 
035   $a(CKB)2550000001167947
035   $a(EBL)1479805
035   $a(OCoLC)865330411
035   $a(SSID)ssj0001061126
035   $a(PQKBManifestationID)11573455
035   $a(PQKBTitleCode)TC0001061126
035   $a(PQKBWorkID)11098181
035   $a(PQKB)10602851
035   $a(MiAaPQ)EBC1479805
035   $a(OCoLC)864903604
035   $a(CaSebORM)9781466588271
035   $a(EXLCZ)992550000001167947
100   $a20180331h20142014  uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aHuman activity recognition $eusing wearable sensors and smartphones /$fMiguel A. Labrador, Oscar D. Lara Yejas
210  1$aBoca Raton :$cCRC Press,$d[2014]
210  4$dİ2014
215   $a1 online resource (206 p.)
225 1 $aChapman & Hall/CRC computer & information science series
300   $aDescription based upon print version of record.
311   $a1-4665-8827-6 
311   $a1-306-18029-5 
320   $aIncludes bibliographical references.
327   $aFront 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
327   $aChapter 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
330   $aLearn How to Design and Implement HAR Systems The pervasiveness and range of capabilities of today's mobile devices have enabled a wide spectrum of mobile applications that are transforming our daily lives, from smartphones equipped with GPS to integrated mobile sensors that acquire physiological data. Human Activity Recognition: Using Wearable Sensors and Smartphones focuses on the automatic identification of human activities from pervasive wearable sensors-a crucial component for health monitoring and also applicable to other areas, such as entertainment and tactical operations. Developed fr
410  0$aChapman & Hall/CRC computer and information science series.
606   $aLocation-based services
606   $aUbiquitous computing
606   $aWearable computers
615  0$aLocation-based services.
615  0$aUbiquitous computing.
615  0$aWearable computers.
676   $a681.2
676   $a681/.2
686   $aCOM037000$aCOM051230$aMAT000000$2bisacsh
700   $aLabrador$b Miguel A.$0939600
702   $aLara Yejas$b Oscar D.
801  0$bFlBoTFG
801  1$bFlBoTFG
906   $aBOOK
912   $a9910823616103321
996   $aHuman activity recognition$93946030
997   $aUNINA