cam a22 4500 528909835 CHVBK 20200927165510.0 m d cr |n |||||||| 180923s2018 enka sb 001 0 eng d 978-0-12-812130-6 paperback 0-12-812130-0 paperback (SERSOL)ssib031976112 (WaSeSS)ssib031976112 YDX eng DNLM 20190522 GSU OCLCO IOJ OCLCO WaSeSS rda RA776 .I58 2018 2018 I-147 W 26.5 613 23 Intelligent data sensing and processing for health and well-being applications edited by Miguel Wister, Pablo Pancardo, Francisco Acosta, José Adán Hernández London Academic Press [2018] 1 online resource (xxii, 291 pages) illustrations text txt rdacontent/eng computer c rdamedia/eng online resource cr rdacarrier/eng Intelligent data centric systems Includes bibliographical references and index. Part 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. Lizenzbedingungen können den Zugang einschränken. License restrictions may limit access. Intelligent 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. Medical Informatics Applications https://id.nlm.nih.gov/mesh/D008491 Quality of Life https://id.nlm.nih.gov/mesh/D011788 Health Promotion https://id.nlm.nih.gov/mesh/D006293 Mobile Applications https://id.nlm.nih.gov/mesh/D063731 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Data Mining methods https://id.nlm.nih.gov/mesh/D057225Q000379 Wister Miguel editor Pancardo Pablo editor Acosta Francisco Of Universidad Juárez Autónoma de Tabasco editor Hernández José Adán editor https://www.sciencedirect.com/science/book/9780128121306 Uni Bern: Volltext BK020053 XK020053 XK020000 eBook - Freedom Collection Books 2018 E-Books von 360MarcUpdates IDSBB B405 B405 405VT NELB4051809 IDSBB 490 1- Intelligent data centric systems IDSBB 700 1- Wister Miguel editor IDSBB 700 1- Pancardo Pablo editor IDSBB 700 1- Acosta Francisco Of Universidad Juárez Autónoma de Tabasco editor IDSBB 700 1- Hernández José Adán editor IDSBB 856 40 https://www.sciencedirect.com/science/book/9780128121306 Uni Bern: Volltext