Bike Fit Technology Matters
Technology matters. But you can have the best equipment in the hands of an under-skilled fitter and you will always get lukewarm results.
At The Bicycle Studio, our clients have the benefit of a physical therapist with nearly 20 years of experience performing all the fittings with some of the best equipment on the planet.
What do we use?
Infrared Motion Capture by Retul
Infrared harness with LEDs
We put infrared LEDs on eight joints on one side of your body. These LEDs are picked up by the receiver 9 times a second with an accuracy of 0.2 mm, and their position is measured in 3-dimensional space so we get thousands of measurements of your body in just a few minutes.
Retul infrared sensor | digital camera
This gives us a hyper-accurate breakdown of how your body is moving on the bike. And, yes, we get accurate lateral motion measurements as well so we know exactly how many millimeters your knee dips to the outside at the top of your pedal stroke.
Gebiomized Saddle Pressure Analysis
This is new tech out of Germany that accurately measures exactly how much pressure AND exactly where you’re putting that pressure on the saddle. It uses a sleeve that slips over your seat that’s embedded with pressure sensors and is connected to a Bluetooth transmitter that sits in your jersey pocket. The pressure graph and analysis data it provides is invaluable in making sure that you’re balanced on the bike properly. This technology was the “final piece of the puzzle” in my opinion — it took the guess-work out of the mystery that was how exactly is this person loading their saddle?
Technology “Take Home”
Having good equipment is great, but 2 truths trump all others when talking about bike fitting technology:
- The fitter should have mastery of human body mechanics, and
- The technology should never try to solve the problem. The bike fit technology should be there to provide data. Full stop. Too often I run into fitters using some bike fit technology they plug information in to and then the system tells them what position the rider should be in. Very bad idea. In complex systems like this when so many variables need to be accounted for — like rider flexibility, trunk strength, functional movement patterns, riding style, overall build, pelvic posture and stability, medical and orthopedic concerns, goals…. — software is going to do a poor job at being able to even assimilate all this information let alone draw conclusions from it.