END-USER TECHNIQUES FOR AGGREGATING AND ANALYZING EXERCISE AND PHYSICAL DATA
Team: Steve Oney (School of Information and CoE), Michael Nebeling (School of Information and CoE), and Sun Young Park (Stamps School of Art and Design and School of Information)
Summary: Although wearable devices make it easy to collect physical data, there is still a significant challenge in allowing athletes and coaches to customize, analyze, understand, share and act on the data they collect. This is particularly true when collecting data from multiple devices or from multiple people. The goal of this project is to allow athletes, coaches, and spectators to aggregate, analyze, understand, and act on data they collect from multiple sources. The project team aims to develop techniques to allow non-programmers to collect and integrate “big data” from multiple sensors; visualize, analyze and share these data; and act on the collected data to improve athletic performance and training.