Part 1. Introduction to Data Sensing Technologies for Data Acquisition
1. Fundamentals and concepts on smart sensors
2. Sensor collected promises and challenges
3. Current techniques and methods for sensing, transmitting and analyzing data using smart sensors
4. Advanced data technologies for Smart sensor applications (Cloud data centers, NoSql, Data Stream Processing, Data fusion, MapReduce, etc.)
Part 2. Sensing in health and well-being applications
5. Proposals for detection and diagnosis about neurological diseases
6. Trends on ambient assisted working
7. Emotional interface with ambient intelligence
8. Student training support for disease diagnostic through sensors
9. Security, privacy and ethical issues in smart sensor health and well-being applications.
Part 3. Data sensing application for health and well-being applications
10. Sensors applications in buildings and homes for supporting the quality of life
11. Sensors applications for intelligent monitoring in workplace for well-being
12. Acquiring data traffic in cities to improve the assistance of first aiders
13. Applications to improve the assistance of first aiders in outdoor scenarios
14. Applications for monitoring and supporting elderly at home.
15. Applications for tracking patients (with dementia, etc.) in outdoor scenarios.
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 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 tomorrow’s IoT and cyber-physical systems.
The book begins with 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. Next, 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.
This book is well suited both for graduate students aiming to acquire deep knowledge in mobile computing and for researchers and practitioners seeking to find appropriate solutions to specific problems in interdisciplinary projects in mobile, pervasive, and ubiquitous computing.
- 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 multi-disciplinary field of smart sensors, smart sensor networks, data analysis, and machine intelligence methods
- Features 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
Researchers, academics, software developers, and industry practitioners working in the domains of mobile, pervasive and ubiquitous computing; control systems; computer science; computer engineering; applied informatics; and intelligent processing systems; also those with specific interest in health and well-being applications in mobile computing
- No. of pages:
- © Academic Press 2018
- 1st August 2018
- Academic Press
- Paperback ISBN:
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.
Associate Professor, Academic Division of Information Technology and Systems (DAIS), Juarez Autonomous University of Tabasco (UJAT), Villahermosa, Tabasco, Mexico
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 Monterrey Institute of Technology and Higher Education (ITESM) in Monterrey, Mexico. In his teaching he has taught courses both undergraduate and graduate students and has authored more than 30 undergraduate and graduate thesis. It has also given lectures at scientific events and has over 20 scientific publications in the area of computing systems. His research interests cover topics like task and temporal Modeling & task management systems temporal data specification, distributed activities on Ad Hoc networks, and Ambient Intelligence; he has recently focused on Internet of Things (IoT).
José Adán Hernández Nolasco holds a Ph. D. in Optics, National Institute for Astrophysics, Optics and Electronics, 2012. M.Sc. in Electronic Engineering [Telecommunications] by Monterrey Institute of Technology and Higher Education, 2003. Electronic and Communications Engineering graduate from the Autonomous University of Nuevo León, 1996. Seventeen years as Research Professor at the Juarez Autonomous University of Tabasco. Twenty publications in the areas of optics and ambient intelligence. and more than thirty participations in conferences. The areas of interest are ubiquitous systems, ambient intelligence, telecommunications infrastructure and the study of the propagation of communication signals.
Research Professor, Juarez Autonomous University of Tabasco, Mexico
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.
Associate Professor, Juarez Autonomous University of Tabasco (UJAT), Mexico