Step Detection Algorithm For Accurate Distance Estimation Using Dynamic Step Length

TL;DR

This paper introduces a smartphone sensor-based step detection algorithm that accurately estimates distance by detecting peaks and varying step lengths, maintaining consistent error over long distances.

Contribution

It presents a novel two-phase algorithm for precise distance estimation that remains unaffected by long-distance errors, unlike traditional methods.

Findings

The algorithm accurately detects steps in real environments.

It maintains a fixed error rate regardless of distance.

The method outperforms conventional approaches in accuracy.

Abstract

In this paper, a new Smartphone sensor based algorithm is proposed to detect accurate distance estimation. The algorithm consists of two phases, the first phase is for detecting the peaks from the Smartphone accelerometer sensor. The other one is for detecting the step length which varies from step to step. The proposed algorithm is tested and implemented in real environment and it showed promising results. Unlike the conventional approaches, the error of the proposed algorithm is fixed and is not affected by the long distance. Keywords distance estimation, peaks, step length, accelerometer.