Academic Press Intelligent Data Sensing and Processing for Health and Well-being Applications (Intelligent Data-Centric Systems)

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. Examines the latest applications and future directions for mobile data sensing in an array of health and well-being scenarios Combines leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multidisciplinary field of smart sensors, smart sensor networks, data analysis and machine intelligence methods Features an analysis of security, privacy and ethical issues in smart sensor health and well-being applications Equips readers interested in interdisciplinary projects in ubiquitous computing or pervasive computing and ambient intelligence with the latest trends and developments Review Thorough coverage of the fundamental concepts and methods of sensor-collected intelligence, with in-depth examination of current and future applications About the Author He is a member of the Researchers State System. His research interests are in ubiquitous computing with particular focus on ambient intelligence and the Internet of Things (IoT). Professor Wister received his PhD in Information Technology and Communications Engineering from the University of Murcia, Spain, in 2008. He earned an MSc degree in Informatics Technology from Monterrey Institute of Technology and Higher Education (ITESM), Mexico, in June 1997, and a BSc degree in Informatics from UJAT, Mexico, in 1993. He has tutored more than 40 BSc and MSc students both at the UJAT and Olmeca University. He has also authored and co-authored 30 scientific papers published in national and international peer-reviewed conferences and journals. Pablo Pancardo García is Associate Professor at Juarez Autonomous University of Tabasco (UJAT) from Mexico. He is PhD Candidate in Computer Sciences at the Distributed Systems Research Group of the UJAT. He received a Master Science degree in Distributed Systems from Monterrey Advances Studies Institute in Mexico. Since 2007, he has directed and participated on several projects related to Mobile and Ubiquitous Computing, Wireless Sensor Networks and RFID applications related to healthcare. Recently, he has especially focused on Ambient Intelligence for healthcare and well-being at workplace. He has directed over 20 undergraduate and graduate thesis and he has published over 20 international papers. Francisco Diego Acosta Escalante holds a PhD. in computer science with honors from the University of Sciences and Techniques of Languedoc in the French city of Montpellier, he has a master's degree in computer science from the University of Grenoble National Polytechnic and the University Joseph Fourier in France and is an engineer in Computer Systems by Monte