Topic: Diet, Physical Activity, and Lifestyle Monitoring Using Wearable and Mobile Devices and Artificial Intelligence
Speaker: Prof. Mingui Sun, University of Pittsburgh
Time: August 17, at 10:00
Venue: B228, New Main Building
Abstract:
It has been well-recognized diet, physical activity and environment play essential roles in human health. Unfortunately, in recent years, an increased pace of lifestyle, a higher level of environmental pollution, and the aging population have caused a steady rise in chronic diseases in both developed and developing countries. It is highly significant for each individual to know his/her own lifestyle and its outcome in personal health. Our multidisciplinary research team, including scientists in nutrition and physical activity and electronic engineers at both the University of Pittsburgh and the Beihang University, has been collaborating for several years using advanced engineering methods to monitor diet, physical activity and lifestyle. With research grants from the National Institutes of Health in the United States and the China Ministry of Science and Technology, we have been investigating wearable devices, portable instruments, and computational methods to construct new electronic health (eHealth) systems. In this presentation, our recent developments are overviewed, including several wearable and mobile technologies for evaluation of food intake and physical activity, a portable instrument to measure food volume and density, and new machine learning and artificial intelligence based computational methods for personal lifestyle modelling and daily event recognition. Our experimental data indicate a high potential of these technologies in assisting people to modify their lifestyle, reduce the burden from chronic diseases and improve personal health.
Biography of the Speaker:
Mingui Sun received a Ph.D. in electrical engineering from University of Pittsburgh in 1989 and joined the faculty at the same university in 1991, where he is currently a Professor of neurosurgery, electrical engineering, and bioengineering. His research interests include bioelectronics, biosignal and image processing, electrophysiology, neuroengineering, radio-frequency systems for medical applications, and wearable electronic systems for biomedical applications. He has published over 450 papers. His research has been supported by NIH and other federal grants in the United States. He is a Fellow of American Institute for Medical and Biological Engineering and a member of the technical committee of IEEE BioCAS.
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