Nothing to worry about ofc, just interestingaf and I’m sure it’s more visible in GPX than FIT exports. Had to see if this is something specific for GPX-generator used by SuuntoApp / SportsTracker, but GPX from 9P was only one with such a strong granularity. When calculating speed at point n through points n-1 and n+1, output would be smoother and granularity does not pop out that much, though it’s still there. The way you calculate speed makes this more prominent - time difference between most points is 1 s, so if speed is calculated only by considering time & distance between current and previous point, it’s basically a dataset of distance differences between points. Though what I find interesting and bit unexpected is that level of granularity - how points are gathered around 3-2 values and forming vertical parallel lines on a chart. GPX files from Suunto App are quite heavily processed, some datapoints are dropped while others are added through interpolation, so when calculating speed from resulting GPX-points, that level of noise is kind of expected. Hope this helps anyone interested, see to get started with the Perl Geo::Gpx module.Īs for the daily summary, I’ll just add those manually every morning. Very simple stuff, next I’ll simply output the time and heart rate to be plotted by gnuplot. Here’s a simple script that will get anyone intrested started: #!/usr/bin/perl There’s a good chance that most datasets visible through the app can also be extracted from those sqlite did some light hacking on the gpx files, I now get the data in a perl script to be used any way I want. There are sleep and sleepsegments tables in amer_app.db, among others, but those are empty for me as I don’t have a watch that tracks sleep. Not sure if tapping on a certain label and and copying files would fall under hacking Android, but creating an app dump ( & check \Android\data\\files\stt-dump on your phone) and exploring those sqlite tables would be my first step. …/ daily sleep data and amount of exercise and calories burnt /…/Īny idea if any of that data is available, or do I have to start doing some hacking on the Android? Or do any of the third party apps support analyzing sleep heart rate patterns?ĭailiy activity has been made available for 3rd party - though I can’t name any that actually use it (doesn’t mean there aren’t any ofc.)
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