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There is a problem here in that there is currently no sensor on the market (that i'm aware of) to measure sitting/standing. And unless i'm misunderstanding ML, we would need that input into our data for it to learn how this correlates to the cyclists power/cadence etc. However, i'll ignore that and look at a couple of options that might give promising ...


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A few thoughts on the feasibility and reliability. Placement of sensors. As the key characteristic of "sitting" is using a surface to sit on, it only makes sense to put the sensor into the seat. The farther away the sensor placement is from the saddle (handlebars, pedals, tires etc.), the more work it is to tell the outcomes apart and more noise ...


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