## Determine your Fitbit stride length using a GPS watch

I have been carrying my Fitbit One for a little over two years with me and it keeps tracking my daily steps. It also tracks my distance covered by multiplying those steps using the stride length which you can either provide explicitly or implicitly setting your heights. In the winter of 2012 I bought my first Garmin Forerunner 410 (replaced by a Garmin Forerunner 920XT) GPS watch to help me track my running (and other outdoor) activities. Since then I have worn it at every activity. Additionally before every running session I started a Fitbit activity to measure my step count. Over the last 18 month I have recorded 69 runs using both, the Fitbit and the watch. I put the data in a csv file so I could load it into R. Then I performed a linear regression to determine my stride length.

In an ideal world, where the GPS watch would perform with a 100% accuracy and the Fitbit would recognize every single step taken, the regression fit would meet the origin. Unfortunately neither of them is that accurate. Our model gives us an intercept of 398.46m with a slope of 1.00421m and an adjusted R^2 of 0.97505 Based on that I have covered a whole lap of a competitive running track before I made a single step. ðŸ˜‰

I have noticed that the placement of the Fitbit has a huge impact on the amount of steps recorded. Attached to the pocket of my running shorts it seems to miss certain steps. I get much better results attaching it directly at my waist. Overall I am quite satisfied with the accuracy provided by the Fitbit. If you do a lot of interval training or vary your stride from session to session your result will be far more off.

The code for the regression is on Github:
.gist table { margin-bottom: 0; }

## A Raspberry Pi photovoltaic monitoring solution

A friend of mine had a photovoltaic system (consisting of 14 solar panels) installed on his rooftop last year. As I was looking for another raspberry pi project I convinced him I would setup a reliable monitoring solution that will lead him to an access to the data in real-time data. The current setup comes with an inverter by the company Kostal.

The Kostal Piko 5.5 runs an internal web server showing statistics like current power, daily energy, total energy plus specific information for each string. However, the visual layout of the the web page and the bundled software look like they were designed in the late 90s and development has been abandoned:

The power inverter itself logs data at either a 15 minutes interval for about 100 days or at an hour interval for about 400 days. At the current setting the 15 minutes interval has been selected. Furthermore my friend took notes irregularly from the built-in liquid-crystal display.

The final plan is now set. A Raspberry Pi would fetch data from the inverter, store it in a database and a web application would render the results to a browser:

The project is live at http://solarpi.tafkas.net