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• #2
Do you want separate recordings for each walking style, 150 paces of each. Or one recording of mixed styles across 150 paces?
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• #3
I think probably a few recordings of normal-ish activities - so eg if you're walking then going up stairs and then walking fast that'd good to have in one recording.
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• #4
here you go :-) walking down/up stairs, walking fast and slow
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• #5
Great - thanks!
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• #6
App loaded will give it a spin a few times tonight.
Is this the oxford pedometer algorithm ?log 0 is walking round the house, upstairs and downstairs.
log 1 is walking up hill fast and slow
log 2 is walking on flat, downhil, stop for a moment and restart
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• #7
Thanks for this! Yes, it's the oxford pedometer algorithm that had been mentioned previously. However even if that doesn't work out, having a bunch of data should really help to come up with a reliable algorithm.
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• #8
HOpe it helps!
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• #9
Thanks! I'll try and get on it this week
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• #10
thank you all! you can follow the development at https://github.com/espruino/Espruino/issues/1846
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• #11
Thanks for sharing, interesting reading. Looking forward to a more accurate step counter.
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• #12
Hi. Here are 150 steps. I will upload more data hiking next week. Thanks!
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• #13
Thanks! I think we've got a decent amount of data now. There is now a Branch of Bangle.js with some calibrated data in: https://github.com/espruino/Espruino/tree/step_counting
But we just have to do some work to stop it automatically lowering the step threshold too much and just randomly counting steps when you're stationary :)
Hi! I'm looking into improving the accuracy of Bangle.js's pedometer by adding this project
However to calibrate it, I need data!
If you're willing to help, please could you install this app:
https://banglejs.com/apps/#accellog
Then run it (
Accel Log
), chooseStart
, and then walk exactly 150 paces in a variety of ways - along a road, bumpy path, up/down stairs, fast, slow, pausing, and so on - then press BTN2 to stop recording when you're done.You can then:
My Apps
look forAcceleration Logger
Hopefully when I get a few examples of different walking styles I can feed it into their tools and it'll calibrate itself!