Wearable Sensors

Edward Sazonov (IEEE M’02, SM’11) received the Diploma of Systems Engineer from Khabarovsk State University of Technology, Russia, in 1993 and the Ph.D. degree in Computer Engineering from West Virginia University, Morgantown, WV, in 2002. Currently he is a Professor in the Department of Electrical and Computer Engineering at the University of Alabama, Tuscaloosa, AL and the head of the Computer Laboratory of Ambient and Wearable Systems (http://claws.eng.ua.edu). His research interests span wearable devices, sensor-based behavioral informatics and methods of biomedical signal processing and pattern recognition. Devices developed in his laboratory include a wearable sensor for objective detection and characterization of food intake (AIM – Automatic Ingestion Monitor); a highly accurate physical activity and gait monitor integrated into a shoe insole (SmartStep); a wearable sensor system for monitoring of cigarette smoking (PACT); and others. His research has been supported by the National Institutes of Health, National Science Foundation, National Academies of Science, as well as by state agencies, private industry and foundations. Dr. Sazonov serves as an Associate Editor for several journals, including IEEE, Frontiers and other publications

1.1. Wearables: Fundamentals, Advancements, and a Roadmap for the Future
1.2. Social Aspects of Wearability and Interaction
1.3. Wearable Haptics

2.1. Wearable Bio and Chemical Sensors
2.2. Wearable Inertial Sensors and Their Applications
2.3. Application of Optical Heart Rate Monitoring
2.4. Measurement of Energy Expenditure by Body-worn Heat-flow Sensors

3.1. Knitted Electronic Textiles
3.2. Woven Electronic Textiles
3.3. Flexible Electronics from Foils to Textiles: Materials, Devices, and Assembly

4.1. Energy Harvesting at the Human Body
4.2. Introduction to RF Energy Harvesting
4.3. Low-Power Integrated Circuit Design for Wearable Biopotential Sensing
 
5.1. Wearable Algorithms: An Overview of a Truly Multi-Disciplinary Problem
5.2. Mining Techniques for Body Sensor Network Data Repository
5.3. Modeling Physical Activity Behavior Change

6.1. Human Body Communication for a High Data Rate Sensor Network
6.2. Channel Models for On-Body Communications
6.3. Trust Establishment in Wireless Body Area Networks
6.4. Wireless Body Area Networks

7.1. Fundamentals of Wearable Sensors for the Monitoring of Physical and Physiological Changes in Daily Life
7.2. Wearing Sensors Inside and Outside of the Human Body for the Early Detection of Diseases
7.3. Wearable and Non-Invasive Assistive Technologies
7.4. Detection and Characterization of Food Intake by Wearable Sensors