Cadence & Distance from Accelerometer & GPS Log

Analizzare cadenza corsa e la distanza percorsa dai file di log accelerometro e GPS

An app to analyse run distance, intensity, and cadence from accelerometer and GPS data logged simultaneously with the GPS Logger and the Accelerometer Logger apps.

The app is meant to be useful as a way to track loading and progress in running for endurance. The results are saved into a text-file (folder

/dataLogger/runAna) using the UTC time-stamps from the original file, which enables combining and synchronising the data with elevation data extracted using the GPS Log Elevation Fetch app, and heart rate data logged using the Bluetooth LE Heart Rate Logger app. The result files are intended for further detailed analysis using some other software, e.g. GNU Octave .

FEATURES:

-Visualises both measured and reduced (Ramer–Douglas–Peucker series reduction to minimise effects of noise on the distance measure) coordinates on Google Maps API map, and shows the corresponding speed profile in a GraphView graph.

-Picks an accelerometry log file started within two minutes of the GPS log file based on file name for analysis, analyses mean amplitude deviation (a measure of intensity), and cadence (steps per second) based on least-squares-spectrum analysis (cadence analysed essentially by implementating the method I reported in Rantalainen et al J Appl Biomech. 2016 Aug;32(4):401-6. doi: 10.1123/jab.2015-0266.).

-Provides an estimate of entropy for each of the 5 s epochs of accelerometry analysis with McDonald-Kreitman test using the GTest implementation from Apache Commons Math.

-Writes the results to tab-separated text files in folder /dataLogger/runAna (one for GPS-based data and another file for the accelerometry-based data).

OF NOTE

-Cadence analysis is done in 5 s epochs that overlap by 4 s, that is once every 1 s, and the frequencies considered range from 0.5 Hz to 3.3 Hz.

Terms of Use, Licensing, and Privacy Policy

This app is written by Timo Rantalainen (tjrantal at gmail dot com), and is free to use as you best see fit. The app is licensed with Apache 2.0 license, which means that I accept no liability whatsoever related to the use of the app.

This app uses Jonas Gehring's GraphView library, which is licensed with Apache 2.0 license (License terms below) to display graphs.

This app uses Lukasz Wiktor's series-reducer library, which is licensed with Apache 2.0 license.

This app uses Apache Commons Math 3.6 library, which is licensed with Apache 2.0 license.

This app uses Java Matrix Package 1.0.3 library, which has been released to the public domain.

This app uses Google Maps API. Google API may store cookies, and this app is subject to Google Maps API terms of use and privacy policies. In specific, in using this app you are bound by Google’s Terms of Service, and you agree to Google's privacy policy.