000 03915nam a22006135i 4500
001 978-3-319-52048-3
003 DE-He213
005 20220801213756.0
007 cr nn 008mamaa
008 170106s2017 sz | s |||| 0|eng d
020 _a9783319520483
_9978-3-319-52048-3
024 7 _a10.1007/978-3-319-52048-3
_2doi
050 4 _aTK7800-8360
072 7 _aTJF
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aTJF
_2thema
082 0 4 _a621.381
_223
100 1 _aGhayvat, Hemant.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934253
245 1 0 _aWellness Protocol for Smart Homes
_h[electronic resource] :
_bAn Integrated Framework for Ambient Assisted Living /
_cby Hemant Ghayvat, Subhas Chandra Mukhopadhyay.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXI, 160 p. 115 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSmart Sensors, Measurement and Instrumentation,
_x2194-8410 ;
_v24
505 0 _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.
520 _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.
650 0 _aElectronics.
_93425
650 0 _aMeasurement.
_928731
650 0 _aMeasuring instruments.
_910420
650 0 _aData mining.
_93907
650 0 _aBiomedical engineering.
_93292
650 0 _aEnvironmental monitoring.
_913183
650 1 4 _aElectronics and Microelectronics, Instrumentation.
_932249
650 2 4 _aMeasurement Science and Instrumentation.
_932783
650 2 4 _aData Mining and Knowledge Discovery.
_934254
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aEnvironmental Monitoring.
_913183
700 1 _aMukhopadhyay, Subhas Chandra.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934255
710 2 _aSpringerLink (Online service)
_934256
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319520476
776 0 8 _iPrinted edition:
_z9783319520490
776 0 8 _iPrinted edition:
_z9783319848068
830 0 _aSmart Sensors, Measurement and Instrumentation,
_x2194-8410 ;
_v24
_934257
856 4 0 _uhttps://doi.org/10.1007/978-3-319-52048-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75580
_d75580