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fitbit.png Some time ago I wrote a blog post about exporting FitBit fitness data into a Sqlite3 database or exporting it as a CSV file for further processing. This was done using a simple Node.js javascript script called “fitbit_dumper”. The original dumper used OAuth version 1 to access the FitBit API.

Since 2016 the FitBit API is only accessible using OAuth2. So this post describes the differences to the original post.
 
 
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Raspberry PI power plug case

Monday, March 23, 2015

RpiCase.png This post describes building a compact system based on a Raspberry PI inside a power plug much like the DreamPlug or others.

Managing and controlling things with a Rasperry Pi is common these days. The only problem in most situations is finding a suitable case. It shuld be compact, containing all necessarry parts and easy to modify. The Rasperry PI is not very suitable for installing it in standard cases due to it’s connectors. So there are lots of specialized cased from plastic or wood or metal. This situation has changed a little with the second generation of the PI but it is still not so easy to find the right case for a PI project.

The following text describs a way of installing a Raspberry PI including a power supply and extension board in one compact plug case.
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If you are using one of FitBit’s fitness tracker devices like the ‘One’ for some time you create a lot of data. When you synchronize your tracker all recorded data is sent to FitBit’s servers. The FitBit portal provides some features for graphically displaying and analyzing your data. It’s also possible to export it manually as CSV to process it further. But what if you want your data locally available without manual export to make own statistics. This is what the ‘fitbit_dumper’ is for.

Update: Since 2016 FitBit uses OAuth2. See this blog post for an update.

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Raspberry PI weight

Monday, May 26, 2014

Using a Raspberry PI as the brain for you next flying (e.g. plane or quadcopter) R/C project seems to be very interesting. Unfortunately weight is important. So I thought it would be a good idea to check the weight of the different models A and B and find ways how to make them even lighter.

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After building the Raspberry PI extension board it’s time to do some useful things with it.

The board contains an I2C temperature sensor and you can also connect external sensors so how can you use it to monitor temperatures over a long time range and store and visualize the measurements?

This post describes a very simple way to do this as well as how to store the measurement data local as well as in the cloud.
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