Afit: Adaptive Fitness Tracking By Application Function Virtualization

The popularity of wearables is exponentially growing and it is expected that individuals will utilize more than one wearable device at a time in the near future. Efficient resource usage between the devices worn by the same person has not yet been effectively addressed by the current wearable applications. In this paper, we demonstrate the feasibility of application function virtualization by utilizing common capabilities of multiple wearables on the body through a cross-platform Android application - AFit. AFit is developed in a way that it can opportunistically leverage the resources of smartphone, smartwatch and smartglass depending on the context of the user, which is user activity. In this demonstration, AFit shows that it is possible to adaptively select the device to track the user movement for fitness tracking, rather than using randomly selected device or all devices, utilizing the common sensor of accelerometer on all devices.