Advanced Pedometer for Smartphone-based Activity Tracking

This paper describes the design of an advanced smartphone pedometer developed as part of a larger solution aimed at encouraging a healthier lifestyle through regular physical activity, called Move2Play. Move2Play provides several motivational methods to promote exercise, some of which are based on the use of points derived from tracked activity. While current pedometers are easily tricked into counting steps by shaking the device, our advanced pedometer uses a neural network to detect and prevent this kind of cheating. In this paper, we discuss both the method for counting steps and our innovative approach to the recognition of cheating.