Ride across America (and the Atlantic Ocean)

Wow. There is now a team of folks in the Golden Cheetah community developing some really cool and exciting new features. Justin in Montreal is getting ANT+ devices working so you can turn that tired old turbos or set of rollers into a Computrainer, I'm still mucking about with the Computrainer support and a few other odds and sods, and Steve in Seattle has the coup de grace, by adding a streaming server and support.

The video below is our first proof of concept with streaming workouts via a specially built server. In it you will see Steve's Mac, running Golden Cheetah but reading telemetry from his server. I'm in Cranleigh riding my socks off on my Computrainer and sending my data over the Atlantic and across to the West Coast of America.

As you can imagine, its all very exciting and we're already thinking of next steps, group rides, racing and who knows what else we can imagine. The killer here though is there is a lot of very, very clever folks working on this, including the project leader Sean in NYC, and two Gregs who between them have addded .3dp support to Golden Cheetah and are helping to test the code and provide veteran power training insight.

Watch the Golden Cheetah Google Group for more news, this is gonna be HUGE!

Wireguard setup for dummies

We all know that Dad is the IT infrastructure manager at home, so when it became clear that we needed a VPN for everyone to enjoy that infrastructure (aka access to streaming services) on their phones and laptops when they were away- it became Dad's job to make it happen. My first instinct was to get a Unifi device since I've got lots of them already. Something like the USG or Dream Machine and use the hardware VPN support from there. But then I baulked at the costs for something with enough horsepower, anywhere from £99 to £350. I looked at their Edgerouter X and other devices like the Netgate pfsense and thought, heck, how hard can it be to install a VPN server on my Linux workstation and do it for nothing ? So I started with OpenVPN but couldn't get it to work or work out how to configure clients. So I switched to OpenVPN access server and couldn't even get it to install (I am using Ubuntu 23.04 right now and its not supported). I watched some videos from Cross

W'bal its implementation and optimisation

So, the implementation of W'bal in GoldenCheetah has been a bit of a challenge. The Science I wanted to explain what we've done and how it works in this blog post, but realised that first I need to explain the science behind W'bal, W' and CP. W' and CP How hard can you go, in watts, for half an hour is going to be very different to how hard you can go for say, 20 seconds. And then thinking about how hard you can go for a very long time will be different again. But when it comes to reviewing and tracking changes in your performance and planning future workouts you quickly realise how useful it is to have a good understanding of your own limits. In 1965 two scientists Monod and Scherrer presented a ‘Critical Power Model’ where the Critical Power of a muscle is defined as ‘the maximum rate of work that it can keep up for a very long time without fatigue’. They also proposed an ‘energy store’ (later to be termed W’, pronounced double-ewe-prime) that represente

Implementing the Banister Impulse-Response Model in GoldenCheetah

Over January 2019 I implemented the Banister model in GoldenCheetah, along the way I learned a little about its strengths and weaknesses. This post is about that; explaining the Banister model and how it relates to the PMC , how it has been implemented in GoldenCheetah and what it's limitations are. I've also added a bit at the end covering some of the things I'm looking to do with this next from potential model improvements through to deep learning. In some ways this post is a longer written form of this tutorial I recorded covering Banister and GoldenCheetah. The Banister Impulse Response model In 1975 Eric Banister proposed an impulse-response model that could be used to correlate past training with changes in performance in order to predict future improvements from future training. Originally proposed for working with collegiate swimmers it was reworked in 1990 for working with running and of course also applicable for cycling. Each type of sport needed a w

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