Repetitive Activity Counter Estimation Technique on the Acceleration Data

Abstract

Smartphone devices are very useful since they were equipped with multiple sensors such as an accelerometer sensor, gyroscope sensor, magnetometer sensor and others. The availability of these sensors allows the user to track and record the data when users undergo exercise activity especially walking activity. A step counter is a tool that calculates the step taken by the user when performing their walking activity. In this paper, the accelerometer sensor was used to collect the acceleration data for the x-axis, y-axis, and z-axis. The data collected from the sensor was filtered before applied for counting steps to avoid inaccurate detection since signals collected consist of noise signal as well. Peak detection method used to determine the number of steps taken by the user during their exercise activity. The experimental test was carried out for two types of repetition exercise activity which are cardiovascular activity and weightlifting activity. The smartphone devices were placed on the hand and in the pocket. The results that are obtained from this test is recorded and validated with the manual counting.