2.2 KiB
Open Rowing Monitor
An open source rowing monitor for rowing exercise machines.
The Open Rowing Monitor runs on a Raspberry Pi and measures the rotation of the rower's flywheel to calculate rowing specific metrics such as power, split time, speed, stroke rate, distance and calories.
The web interface can be used to view those metrics on any device that runs a browser (i.e. a smartphone that you attach to your rowing machine while training).
The Open Rowing Monitor also implements the Bluetooth Low Energy (BLE) protocol for Fitness Machine Service (FTMS). This allows using your rowing machine with Fitness Applications that support FTMS.
FTMS supports different types of fitness machines. Open Rowing Monitor currently supports the type FTMS Rower and simulates the type FTMS Indoor Bike.
FTMS Rower allows all rower specific metrics (such as stroke rate) to be present, unfortunately not many training applications exist that support this type (the only one I'm aware of is Kinomap but let me know if there are more).
FTMS Indoor Bike is widely adopted by training applications for bike training. The simulated Indoor Bike offers metrics such as power and distance to the biking application. So why not use your rowing machine to row up a mountain in Zwift, Bkool, Sufferfest or similar :-)
I basically started this project, because my rowing machine (WRX700) has a very crappy computer and I wanted to build something with more realistic metrics and more features. But there is not much that is specific to that rowing machine. It should run fine with any rowing machine that uses an air or water resistance mechanism.
Feel free to contact me if you have any questions to this project. Let me know if you run this with a different rowing machine setup so I can expand the documentation.
This project is already in a very usable stage, but some things are still a bit rough on the edges.
For now, here are some basic Installation Instructions
Probably I'll add more features in the future, check the Development Roadmap if you are curious.
This project uses some great work by others, see the attribution here.