LEADER 03975nam 2200409 450 001 9910583002703321 005 20230120002804.0 010 $a0-12-812130-0 010 $a0-12-812320-6 035 $a(CKB)4100000005463968 035 $a(MiAaPQ)EBC5477760 035 $a(EXLCZ)994100000005463968 100 $a20180917d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aIntelligent data sensing and processing for health and well-being applications /$fedited by Miguel Wister [and three others] 210 1$aLondon, United Kingdom :$cAcademic Press is an imprint of Elsevier,$d[2018] 210 4$dİ2018 215 $a1 online resource (316 pages) 225 1 $aIntelligent data centric systems 327 $aPart 1. Introduction to smart sensors -- Charting the past, present, and future in mobile sensing research and development -- Data fusion architecture of heterogeneous sources obtained from a smart desk -- Wireless sensor technology for intelligent data sensing: research trends and challenges -- Part 2. Sensing in health and well-being applications -- Tangible user interfaces for ambient assisted working -- Ambient assisted working applications: sensor applications for intelligent monitoring in workplace for well-being -- Home automation architecture for comfort, security, and resource savings -- Security, privacy, and ethical issues in smart sensor health and well-being applications -- Diagnosing medical conditions using rule-based classifiers -- Part 3. Smart sensor application for health and well-being applications -- Assessing the perception of physical fatigue using mobile sensing -- Applications to improve the assistance of first aiders in outdoor scenarios -- Indoor activity tracking for elderly using intelligent sensors -- User-centered data mining tool for survival-mortality classification of breast cancer in Mexican-origin women -- Modeling independence and security in Alzheimer's patients using fuzzy logic -- Wireless sensor networks applications for monitoring environmental variables using evolutionary algorithms. 330 $aIntelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest technologies for sensor-collected intelligence with detailed coverage of real-case applications for healthcare and well-being at home and in the workplace. Forward-thinking in its approach, the book presents concepts and technologies needed for the implementation of today's mobile, pervasive and ubiquitous systems, and for tomorrow's IoT and cyber-physical systems. Users will find a detailed overview of the fundamental concepts of gathering, processing and analyzing data from devices disseminated in the environment, as well as the latest proposals for collecting, processing and abstraction of data-sets. In addition, the book addresses algorithms, methods and technologies for diagnosis and informed decision-making for healthcare and well-being. Topics include emotional interface with ambient intelligence and emerging applications in detection and diagnosis of neurological diseases. Finally, the book explores the trends and challenges in an array of areas, such as applications for intelligent monitoring in the workplace for well-being, acquiring data traffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home.--$cSource other than the Library of Congress. 410 0$aIntelligent data centric systems. 606 $aHealth$xData processing 615 0$aHealth$xData processing. 676 $a613.028553 702 $aWister$b Miguel 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910583002703321 996 $aIntelligent data sensing and processing for health and well-being applications$92044544 997 $aUNINA