Next, install F-Droid, a free software repository (like Google Play) for open source apps on Android. If you’re comfortable with Python, you can also apparently get the auth key programatically (see this guide here – I haven’t tested it myself), but for this post we won’t assume any Python knowledge. The first step is to install a modified Mi-Band app and extract the “Auth Key.” This YouTube video gives a very clear overview of the process (you can download the modified app here). Let’s get started! Part 1: Install the Modified Mi-Band App and Extract the “Auth Key” You can find the complete code on Github here.

The steps outlined below are for Android mobile devices (because that’s the kind of phone I have, though I imagine the steps would be similar for other types of phones). Finally, we use Gadgetbridge to export the raw data from the device, and then use R to extract the data and format them for analysis. We then install Gadgetbridge, an open source application that interfaces with and collects the data recorded by the Mi-Band tracker. The approach described in this blog is as follows: first, we will install a modified Mi-Fit app in order to get access to an “auth key” which allows other applications to communicate with the tracker. One nice thing about the Mi-Band is that it’s relatively straightforward to extract the activity data from the tracker.

I considered buying another Fitbit, but was not very pleased the lifespan of the previous one (the devices are apparently designed not to be very durable). I bought one in August after my Fitbit died (after 888 days of use). The Mi-Band 5 is a relatively inexpensive personal tracker that was released in July of 2020. In this post, we will see how to extract step count, heart rate, and activity data from the Xiaomi Mi-Band 5 tracking device.

Download mi smart band 5