Distance measurement with smartphone using acceleration model of hand movement

Abstract

This paper proposes a novel method to obtain the displacement of a smartphone movement. The method utilizes genetic algorithm to synthesize a mathematical model of acceleration based on behavior of a person's hand movement from the raw acceleration data. Then, double integration is performed on the synthesized acceleration model, which is significantly less affected by the noise accumulation. The raw acceleration of the hand's movement is calibrated initially using acceleration-time graph analysis and a modified version of peak detection based on moving average is used to obtain the constraints for genetic algorithm. The obtained experiment results showed that the method is very effective at determining displacement with high accuracy.