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Thanks! Yours is sweet also - especially the software. Very easy on the eye. By total coincidence I also started with the intention to use a Smart Bee, but in the time it took to arrive (it was unaccountably detained by customs) I got impatient and decided that having an external real-time clock wasn't a deal breaker. So I arrived at using a Sparkfun ESP32 Thing Plus S3. There are cheaper dev boards, but this one has an integrated SD card slot and is available worldwide so seemed like a good choice for an open source project. I'm definitely up...

BTW there's a discord running regarding @synBike data logger where I think the plan is also to open source it. Maybe all you diyers might have valuable input there as well?

Awesome project! The data box is a clean look! Keep us posted on your development

Hey folks, thought I'd share my DIY data acquisition project. It's been about 6 months in the making (so far) and is up and running. My intention, once it's cleaned up and a few more of the wrinkles are worked out, is to open-source this. Hardware-wise, it's based on an ESP32 dev board on a custom PCB that breaks out the connectors and does some simple analog signal processing. It supports 4 analog channels and digital sensors on I2C. It has a small OLED screen and keypad, and optional handlebar-mounted switch for starting and stopping logs and marking events of...

AI isn't amazing at providing insights or recommendations for "novel" things. It's great at historical pattern recognition and replaying patterns into the future. The problem with trying to train an AI model with the tooling we have now is kind of twofold. First, wholistic system data. To recognize patterns that would be meaningful, the model would have to know more than what the position sensors can provide. It would have to take into consideration things like terrain (which you could in theory get from gforce data) but also rider body position and dynamics. It would have to know (from historical...

@enricorodella22 Is it possible to train an AI model using this data and have it provide insights or recommendations? That would be a really nice feature. I’m not a data scientist, but maybe someone with more expertise in this area could weigh in. The sensors already collect a lot of information but I find it difficult to interpret and use it to make adjustments.

Here are some of the earliest known data acquisition photos I have seen in mountain biking. These are posted by @vintage mountain bike podcast. An interview they said that Greg Minar was riding this Honda. Very heavy and dangerous to with data on because the covers it would get caught in cross winds. We have come a long way!

Great article Luis. I’m also a long time user of Motion Instruments for my RSR Bikeworks business and a BYB user for my Scott DH team work. Both systems are great, but MI edges it for customer setup days I think. As said by others, the data between the two systems is quite different, so not relatable. Probably to do with the sample rates. I do actually use max compression and rebound speeds to ‘tune’ the HSC and HSR. Then also use the average speed function to ‘tune’ LSC and LSR. Then use the 95% to balance front to rear...

I've been doing some more testing and slowly have inched up in air pressure in the fork. I did try full open compression and full open rebound for a few laps as that is what the auto tune was telling me to do. I can say it was very active but felt uncontrolled and I found my self wanting more support or getting offline easier than I wanted. I slowly crept up in pressure and compression but didn't want to loose to much front end feel. I tried to then get the rear to have similar compression speeds but could...

Yeah rotary pots can work, I've seen people make angle sensors and even a type of string pot from a basic Rotary potentiometer, something like the Motec steering sensor here. You lose a little bit of resolution if its only working in a small portion of its range (a 1 turn Pot with 260ish degrees of working range and a 12 bit ADC/4096 values measuring a link with 45 degrees of rotation and a 65mm stroke shock is roughly 0.1mm) vs a 75mm linear pot that gets about 0.02mm on the same system. It's probably the easiest one to integrate...