Smartphone Sensing and Imaging for Mobile Healthcare
The treatment and prevention of healthcare ailments are currently episodic and patients receive very little care outside of scheduled appointments. Smartphones, which are now owned by over 77 percent of US adults offer the opportunity for patients to receive care continuously, anywhere and anytime. Smartphones are equipped with high performance processors, sensors and cameras, which enable rich healthcare sensing and medical imaging applications. In this talk, I will describe some smartphone sensing and imaging healthcare research that I have been involved in over the past 6 years. These projects include passive intoxicated gait sensing, gait assessment to detect Parkinson’s disease, diabetic wound image analysis and context-aware messaging (reminders and just-in-time notifications) to facilitate health behavior change. Techniques used in this work include signal and image processing for feature extraction, and classification using machine learning. I will also give a preview of a new project in which smartphones will be used to detect smartphone-sensable signs (smartphone biomarkers) of Traumatic Brain Injury (TBI) and infectious diseases in soldiers.
Professor Emmanuel Agu is a WPI faculty in the Computer Science Department with a joint appointment in the Electrical and Computer Engineering Department. He is also the director of the Health Delivery Institute at WPI. He has been involved in mobile and ubiquitous computing research for over twenty years, and has conducted a wide range of mobile computing, wireless networking and imaging research. Much of his research focus over the past 6 years has been in mobile health, targeting ailments such as diabetes, sedentary lifestyles, mental health, alcohol addictions and obesity. His work has been funded by the NSF, NIH, NVidia, AMD and Nokia.
Host: Professor Ted Clancy