Intelligent Data Sensing and Processing for Health and Well-being Applications

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 scenariosCombines 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 methodsFeatures analysis of security, privacy, and ethical issues in smart sensor health and well-being applicationsEquips readers interested in interdisciplinary projects in ubiquitous computing or pervasive computing and ambient intelligence with the latest trends and developments INDICE: 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.

• ISBN: 978-0-12-812130-6
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 300
• Fecha Publicación: 01/08/2018
• Nº Volúmenes: 1
• Idioma: Inglés