Small Update to Installation Docs

docs/README.md

@@ -23,7 +23,7 @@ The following items describe most of the current features in more detail.
 
 ### Rowing Metrics
 
-OpenRowingMonitor calculates the typical metrics of a rowing machine, where the underlying parameters can be tuned to the specifics of a rower machine via the configuration file. We maintain [settings for machines alrrady known to us](Supported_Rowers.md). The underlying software is structurally validated against a Concept2 PM5 in over 300 sessions (totalling over 3 million meters), and results deviate less than 0.1% for each individual rowing session.
+OpenRowingMonitor calculates the typical metrics of a rowing machine, where the parameters can be tuned to the specifics of a rower machine by changing the configuration file. We maintain [settings for machines already known to us](Supported_Rowers.md). The underlying software is structurally validated against a Concept2 PM5 in over 300 sessions (totalling over 3 million meters), and results deviate less than 0.1% for every individual rowing session.
 
 OpenRowingMonitor can display the following key metrics on the user interface:
 
@@ -61,7 +61,7 @@ OpenRowingMonitor can recieve heartrate data via Bluetooth Low Energy (BLE) and
 
 * **FTMS Rower**: This is the FTMS profile for rowing machines and supports all key rowing specific metrics (such as pace and stroke rate). We've successfully tested it with [EXR](https://www.exrgame.com), [Peleton](https://www.onepeloton.com/app), [MyHomeFit](https://myhomefit.de) and [Kinomap](https://www.kinomap.com).
 
-* **ANT+ FE-C**: OpenRowingMonitor can broadcast rowing metrics via ANT+ FE-C, which can be recieved by several series of Garmin smartwatches like the Epix/Fenix series, which then can calculate metrics like training load etc..
+* **ANT+ FE-C**: OpenRowingMonitor can broadcast rowing metrics via ANT+ FE-C, which can be received by several series of Garmin smartwatches like the Epix/Fenix series, which then can calculate metrics like training load etc..
 
 * **FTMS Indoor Bike**: This FTMS profile is used by Smart Bike Trainers and widely adopted by bike training apps. It does not support rowing specific metrics, but it can present metrics such as power and distance to the biking application and use cadence for stroke rate. So why not use your virtual rowing bike to row up a mountain in [Zwift](https://www.zwift.com), [Bkool](https://www.bkool.com), [The Sufferfest](https://thesufferfest.com) or similar :-)
 
@@ -76,19 +76,19 @@ OpenRowingMonitor can recieve heartrate data via Bluetooth Low Energy (BLE) and
 
 ### Export of Training Sessions
 
-OpenRowingMonitor is based on the idea your metrics should be easily accessible for further analysis on data platforms. Automatic uploading your sessions to [RowsAndAll](https://rowsandall.com/), [Intervals.icu](https://intervals.icu/) and [Strava](https://www.strava.com) is an integrated feature. For other platforms this is a manual step, see [the integration manual](Integrations.md). To allow the data upload, OpenRowingMonitor can create the following file types:
+OpenRowingMonitor is based on the idea your metrics should be easily accessible for further analysis on data platforms. Automatic uploading your sessions to [RowsAndAll](https://rowsandall.com/), [Intervals.icu](https://intervals.icu/) and [Strava](https://www.strava.com) is an integrated feature. For other platforms this is currently a manual step, see [the integration manual](Integrations.md). To allow the data upload, OpenRowingMonitor can create the following file types:
 
-* **RowingData** files, which are comma-seperated files with all metrics OpenRowingMonitor can produce. These can be used with [RowingData](https://pypi.org/project/rowingdata/) to display your results locally, or uploaded to [RowsAndAll](https://rowsandall.com/) for a webbased analysis (including dynamic in-stroke metrics). The csv-files can also be processed manually in Excel, allowing your own custom analysis;
+* **RowingData** files, which are comma-separated files with all metrics OpenRowingMonitor can produce. These can be used with [RowingData](https://pypi.org/project/rowingdata/) to display your results locally, or uploaded to [RowsAndAll](https://rowsandall.com/) for a webbased analysis (including dynamic in-stroke metrics). The csv-files can also be processed manually in Excel, allowing your own custom analysis;
 
-* **Garmin FIT files**: These are binairy files that contain the most interesting metrics of a rowing session. Most modern training analysis tools will accept a FIT-file. You can upload these files to training platforms like [Strava](https://www.strava.com), [Garmin Connect](https://connect.garmin.com), [Intervals.icu](https://intervals.icu/), [RowsAndAll](https://rowsandall.com/) or [Trainingpeaks](https://trainingpeaks.com) to track your training sessions;
+* **Garmin FIT files**: These are binary files that contain the most interesting metrics of a rowing session. Most modern training analysis tools will accept a FIT-file. You can upload these files to training platforms like [Strava](https://www.strava.com), [Garmin Connect](https://connect.garmin.com), [Intervals.icu](https://intervals.icu/), [RowsAndAll](https://rowsandall.com/) or [Trainingpeaks](https://trainingpeaks.com) to track your training sessions;
 
-* **Training Center XML files (TCX)**: These are legacy XML-files that contain the most essential metrics of a rowing session. Most training analysis tools will still accept a tcx-file (although FIT usually is recomended). You can upload these files to training platforms like [Strava](https://www.strava.com), [Garmin Connect](https://connect.garmin.com), [Intervals.icu](https://intervals.icu/), [RowsAndAll](https://rowsandall.com/) or [Trainingpeaks](https://trainingpeaks.com) to track your training sessions;
+* **Training Center XML files (TCX)**: These are legacy XML files that contain the most essential metrics of a rowing session. Most training analysis tools will still accept a tcx-file (although FIT usually is recommended). You can upload these files to training platforms like [Strava](https://www.strava.com), [Garmin Connect](https://connect.garmin.com), [Intervals.icu](https://intervals.icu/), [RowsAndAll](https://rowsandall.com/) or [Trainingpeaks](https://trainingpeaks.com) to track your training sessions;
 
 The OpenRowingMonitor installer can also set up a network share that contains all training data so it is easy to grab the files from there and manually upload them to the training platform of your choice.
 
 ## Installation
 
-You will need a Raspberry Pi Zero 2 W, Raspberry Pi 3, Raspberry Pi 4 with a fresh installation of Raspberry Pi OS Lite for this (the 64Bit kernel is recomended). Connect to the device with SSH and just follow the [Detailed Installation Instructions](installation.md) and you'll get a working monitor. This guide will help you install the software and explain how to connect the rowing machine. If you can follow the guide, it will work. If you run into issues, you can always [drop a question in the GitHub Discussions](https://github.com/JaapvanEkris/openrowingmonitor/discussions), and there always is someone to help you.
+You will need a Raspberry Pi Zero 2 W, Raspberry Pi 3, Raspberry Pi 4 with a fresh installation of Raspberry Pi OS Lite for this (the 64Bit kernel is recommended). Connect to the device with SSH and just follow the [Detailed Installation Instructions](installation.md) and you'll get a working monitor. This guide will help you install the software and explain how to connect the rowing machine. If you can follow the guide, it will work. If you run into issues, you can always [drop a question in the GitHub Discussions](https://github.com/JaapvanEkris/openrowingmonitor/discussions), and there always is someone to help you.
 
 > [!IMPORTANT]
 > Due to architecture differences, both the Raspberry Pi Zero W (see [this discussion for more information](https://github.com/JaapvanEkris/openrowingmonitor/discussions/33)) and Raspberry Pi 5 (see [this discussion for more information](https://github.com/JaapvanEkris/openrowingmonitor/issues/52)) will **not** work.
@@ -102,6 +102,6 @@ This project is in a very stable stage, as it is used daily by many rowers. The
 
 This is a larger team effort and OpenRowingMonitor had much direct and indirect support by many people during the years, see the [Attribution to these people here](attribution.md). You can see its development throughout the years [here in the Release notes](Release_Notes.md). Our work is never done, so more functionality will be added in the future, so check the [Development Roadmap](backlog.md) if you are curious.
 
-Contributions to improve OpenRowingMonitor further are always welcome! To get an idea how this all works, you can read the [Archtecture description](Architecture.md), the [Physics of OpenRowingMonitor (for advanced readers)](physics_openrowingmonitor.md) and [Contributing Guidelines](CONTRIBUTING.md) how you can help us improve this project.
+Contributions to improve OpenRowingMonitor further are always welcome! To get an idea how this all works, you can read the [Architecture description](Architecture.md), the [Physics of OpenRowingMonitor (for advanced readers)](physics_openrowingmonitor.md) and [Contributing Guidelines](CONTRIBUTING.md) how you can help us improve this project.
 
 Feel free to leave a message in the [GitHub Discussions](https://github.com/JaapvanEkris/openrowingmonitor/discussions) if you have any questions or ideas related to this project.

docs/installation.md

@@ -33,7 +33,8 @@ The cheapest solution is a headless Raspberry Pi Zero 2W (roughly $15), the most
 
 ### Initialization of the Raspberry Pi
 
-- Install **Raspberry Pi OS Lite** on the SD Card i.e. with the [Raspberry Pi Imager](https://www.raspberrypi.org/software). Here, Raspberry Pi OS Lite 64 Bit is recommended as it is better suited for real-time environments. This can be done by selecting "other" Raspberry Pi OS in the imager and select OS Lite 64 Bit. We typically support the current and previous (Legacy) version of Raspberry Pi OS.
+<!-- pigpio availibility problems in Trixie -->
+- Install **Raspberry Pi OS Lite (Legacy 64-bit)** on the SD Card i.e. with the [Raspberry Pi Imager](https://www.raspberrypi.org/software). This can be done by selecting "Raspberry Pi OS (other)" in the imager and then selecting "Raspberry Pi OS Lite (Legacy) 64-bit". The Legacy version is based on Debian 12 (Bookworm) and is required for compatibility - the current version of Raspberry Pi OS (based on Debian 13 Trixie) is not yet supported.
 - In the Raspbverry Pi Imager, configure the network connection and enable SSH. In the Raspberry Pi Imager, you can automatically do this while writing the SD Card, just press `Ctrl-Shift-X`(see [here](https://www.raspberrypi.org/blog/raspberry-pi-imager-update-to-v1-6/) for a description), otherwise follow the instructions below
 - Connect the device to your network ([headless](https://www.raspberrypi.org/documentation/configuration/wireless/headless.md) or via [command line](https://www.raspberrypi.org/documentation/configuration/wireless/wireless-cli.md))
 - Enable [SSH](https://www.raspberrypi.org/documentation/remote-access/ssh/README.md)