Tutorial Talk Speaker:
Associate Professor Guanling Chen
Univ. of Massachusetts Lowell
The single greatest opportunity to improve health and reduce premature deaths lies in personal behavior. While technology-based behavior intervention has been around for many years, the emerging smartphone and wearable sensing technology brings a great promise to push health behavior change further by inferring and predicting real-time behavior occurrence and their context. In this tutorial, I will survey existing techniques of unobtrusive sensing of health behaviors (e.g. mobility, stress, sleep, and eating), using smartphones, smart watches, and smart glasses. I will then discuss the research challenges and opportunities in this exciting field.
Guanling Chen is an Associate Professor of Computer Science at University of Massachusetts Lowell. After completing Ph.D. in Computer Science at Dartmouth College in 2004, he was an I3P Fellow before joining the faculty of UMass Lowell in 2005. His research interests include mobile computing, ubiquitous & pervasive computing, human-computer interaction, and intelligent systems. He has received over $1.5 million research grants from National Science Foundation (NSF) and Department of Homeland Security (DHS), and his work has been well published in top conferences and journals. For more information see: http://www.cs.uml.edu/~glchen/.