Wireless Footstep Counter

Abstract

This paper presents a device, called WiFoCo, to count footsteps by designing a kit using an accelerometer, a seismic sensor, with an adaptive algorithm. First, raw data are calibrated twice to reduce the effect of gravity and noises from environment. Next, adaptive modeling is shown to be an effective means to detect footsteps. Two conditions are implemented for different circumstances, when speed is stable or fluctuates. Finally, the study focuses on the changing rule of acceleration to choose proper parameter values. The result with two parameters—error rate and distance, proves the effectiveness of the counter. This counter is useful for monitoring the motion status of patients, athletes, and people with disabilities because it operates accurately and stably under different types of movement.