Management of body-sensor data in sports analytic with operative consent

Data from affordable body-sensor devices that monitor personal metrics like heart-rate, weight, and movements are changing how athletes train and perform. Existing sport-analytic tools are, however, mostly monolithic proprietary systems where athletes have little control over how their data is used and managed over time. This paper describes Girji, security centered body-sensor data acquisition and management system that embeds a novel form of an active and operational type of computational consent, which gives athletes a high level of control of how their data can be used. This security architecture is implemented using a novel combination of object capabilities that embed executable code and individual meta-code execution containers for flexible consent policies.