LEADER 04550nam 22007335 450 001 9910159371003321 005 20200630043408.0 024 7 $a10.1007/978-3-319-52048-3 035 $a(CKB)3710000001008951 035 $a(DE-He213)978-3-319-52048-3 035 $a(MiAaPQ)EBC4778944 035 $a(PPN)19834130X 035 $a(EXLCZ)993710000001008951 100 $a20170106d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWellness Protocol for Smart Homes$b[electronic resource] $eAn Integrated Framework for Ambient Assisted Living /$fby Hemant Ghayvat, Subhas Chandra Mukhopadhyay 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XI, 160 p. 115 illus. in color.) 225 1 $aSmart Sensors, Measurement and Instrumentation,$x2194-8402 ;$v24 311 $a3-319-52047-4 311 $a3-319-52048-2 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Literature Survey -- Wellness Protocol Development and Implementation -- Issues and Mitigation of WSNs-based Smart Building Systems -- Activity Detection and Wellness Pattern Generation -- Wellness Pattern Generation and Forecasting -- Conclusion and Future Works. 330 $aThis book focuses on the development of wellness protocols for smart home monitoring, aiming to forecast the wellness of individuals living in ambient assisted living (AAL) environments. It describes in detail the design and implementation of heterogeneous wireless sensors and networks as applied to data mining and machine learning, which the protocols are based on. Further, it shows how these sensor and actuator nodes are deployed in the home environment, generating real-time data on object usage and other movements inside the home, and therefore demonstrates that the protocols have proven to offer a reliable, efficient, flexible, and economical solution for smart home systems. Documenting the approach from sensor to decision making and information generation, the book addresses various issues concerning interference mitigation, errors, security and large data handling. As such, it offers a valuable resource for researchers, students and practitioners interested in interdisciplinary studies at the intersection of wireless sensing processing, radio communication, the Internet of Things and machine learning, and in how they can be applied to smart home monitoring and assisted living environments. 410 0$aSmart Sensors, Measurement and Instrumentation,$x2194-8402 ;$v24 606 $aElectronics 606 $aMicroelectronics 606 $aPhysical measurements 606 $aMeasurement    606 $aData mining 606 $aBiomedical engineering 606 $aEnvironmental monitoring 606 $aElectronics and Microelectronics, Instrumentation$3https://scigraph.springernature.com/ontologies/product-market-codes/T24027 606 $aMeasurement Science and Instrumentation$3https://scigraph.springernature.com/ontologies/product-market-codes/P31040 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 606 $aMonitoring/Environmental Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/U1400X 615 0$aElectronics. 615 0$aMicroelectronics. 615 0$aPhysical measurements. 615 0$aMeasurement   . 615 0$aData mining. 615 0$aBiomedical engineering. 615 0$aEnvironmental monitoring. 615 14$aElectronics and Microelectronics, Instrumentation. 615 24$aMeasurement Science and Instrumentation. 615 24$aData Mining and Knowledge Discovery. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aMonitoring/Environmental Analysis. 676 $a696 700 $aGhayvat$b Hemant$4aut$4http://id.loc.gov/vocabulary/relators/aut$0875510 702 $aMukhopadhyay$b Subhas Chandra$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910159371003321 996 $aWellness Protocol for Smart Homes$91954819 997 $aUNINA