Peter Gamma (Physiologist & Director) Meditation Research Institute Switzerland (MRIS)

How to get maximal accuracy for treadmill data for scientific studies?

Last Updated on December 24, 2023 by pg@petergamma.org

5kRunner writes the treadmill belt accelerates 2 % if your foot is in the air»:

graph from 5kRunner

  • We have discussed this topic previously when we discussed treadmill calibration by fellnr.
  • 5krunner gives an apparent accuracy of 95 % for the NPE Runn.
  • we are promoting a Raspberry Pi treadmill speed sensor which is open source to create a treadmill speed sensor which offers maximal accuracy (link can be found in our journal).
  • We are promoting curved treadmills to maximize treadmill accuracy for scientific studies.
  • If we have a NPE Runn with an accuracy of 95 % and another inaccuracy of 2 % from treadmill fluctuations with have an inaccuracy of 93 %, but with a open source Raspberry Pi speed sensor we would have all these data by ourselves.
  • The 2 % eventually depent on the treadmill, and we suppose that this value is from one of the best devices which is on the market.

We suppose it is possible to build with the knowledge which is available a treadmill which is suitable for scientific studies at a fraction of the costs of those which are currently on the market for this purpose.