About
Adam Hoover is a professor and associate chair in the Department of Electrical and Computer Engineering. His research is focuses on novel artificial intelligence (AI) methodologies for the development of next-generation wearable health devices. These methodologies include the study of long-term human behavior patterns to improve event detection; personalized AI to improve individual behavior predictions and health outcomes; and challenges in collecting reliably labeled data from people during regular daily usage. Computer vision, embedded computing, bioinformatics, image and signal processing, and deep learning form the background of his work. His group works with many types of sensors and often builds embedded systems that prototype novel health monitoring ideas. He has expertise in collecting and annotating large datasets which he makes publicly available to help other researchers working on the same problems. He is currently an Associate Editor for the IEEE Journal of Biomedical and Health Informatics.
Visit Dr. Hoover's Faculty Profile and Webpage. A complete list of his publications and citation can be found on Google Scholar.
How their research is transforming health care
Adam is working in mHealth, the practice of medicine and public health supported by wearable devices. His specific expertise is in tools that support the measurement of energy intake. New tools are needed for studies in obesity and related co-morbidities such as diabetes and for treatment of obesity and eating disorders. His tools help participants increase compliance with taking measurements, decrease underestimation bias, and provide a low-cost and low-burden alternative to traditional methods.
Health Research Expertise Keywords
Faculty Scholar, Engineering, Computing, Computer, Electrical Engineering, Tracking, Embedded Systems, Obesity, Energy Intake, Automation, Sports Medicine, Bite Counter, Bite Technologies
