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

Foreword
Preface

Part 1. Introduction to Smart sensors
1. Charting the past, present, and future in mobile sensing research and development
2. Data fusion architecture of heterogeneous sources obtained of a smart desk
3. Wireless Sensor Technology for Intelligent Data Sensing: Research Trends and Challenges

Part 2. Sensing in health and well-being applications
4. Tangible interfaces for ambient assisted working
5. Ambient Assisted Working Applications
6. Home automation architecture for comfort, security and resource saving
7. Security, privacy and ethical issues in smart sensor health and well-being application
8. Diagnosing medical conditions using rule-based classifiers

Part 3. Smart sensor application for health and well-being applications
9. Assessing the Perception of Physical Fatigue using Mobile Sensing
10. Applications to improve the assistance of first aiders in outdoor scenarios
11. Indoor Activity Tracking for Elderly Using Intelligent Sensors
12. User-centered data mining for survival-mortality classification of breast cancer in Mexican origin women
13. Modelling Independence and Security in Dementia-Users Using Fuzzy Logic
14. Wireless Sensor Networks Applications for Monitoring Environmental Variables Using Evolutionary Algorithms

Index

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

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