Bioengineering and Public Health: Biomedical Materials and Devices for Bridging the Biotic-Abiotic Interface
Smart Skin Sensors and Analytics in the Cloud to Advance the Frontiers of Wearable Health
Todd Coleman, University of California, San Diego
I will discuss recent efforts by my research group in combining skin-integrated wearable sensors with multi-modal analytics algorithms that can be efficiently implemented in the cloud. The end result is a suite of human-computer interface applications that on the one hand, blur the distinction between man and machine, while on the other, promotes humans and computers playing to their individual strengths. Specifically, we are developing a platform to allow for unobtrusive monitoring of one’s physiology with “smart-skin” sensors that then wirelessly transmit to a smart phone. From there, these multiple modalities are process these modalities using machine learning algorithms in the cloud and relay important health information the clinician. These analytics methods implemented in the cloud also provide decision support tools to feedback information to the user to support better healthy living and decision-making. Some examples will be provided within the context of perinatal health, and chronic disease management with Google Glass.