The mobile device as a sensor for worldwide physical activity and health
The growing popularity of smartphones and wearable sensors provides us with an unprecedented view of physical activity and health outcomes across millions of individuals. We will present ongoing work and initial results from our analysis of the data collected from Azumio’s Argus smartphone app. In particular, we will discuss (1) whether/how large-scale data from mobile tracking devices can be used for medical research, (2) how to distill activity data captured on a minute-by-minute basis from millions of individuals into a concise set of measures, (3) how to connect these measures to health outcomes, and (4) initial results on the relationship between physical activity and one’s environment.
About the speaker: Jure Leskovec is assistant professor of Computer Science at Stanford University and chief scientist at Pinterest. Computation over massive data is at the heart of his research and has applications in computer science, social sciences, economics, marketing, and healthcare. This research has won several awards including a Lagrange Prize, Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, and numerous best paper awards. Leskovec received his bachelor’s degree in computer science from University of Ljubljana, Slovenia, and his PhD in in machine learning from the Carnegie Mellon University and postdoctoral training at Cornell University. You can follow him on Twitter @jure.