Original Post
I recently bought an accelerometer. My hopes are to use it on the motorcycle to better understand the dynamics of cornering. I have a gps that will lay down tracks at 1hz and a tuner that will record ecm data at 2hz or 8hz to combine with it. Right now I'm trying to understand how to use the accelerometer. The first problem I've run into is the 1g down vector. My understanding is you can't distinguish acceleration due to gravity from acceleration due to motion without an external referance and that's why that is there. The problem is how do you seperate the two? If there were only translations and no rotations then the down vector wouldn't change it could just be subtracted out. Up and down hills, leaning on curves, there's rotation though. I looked around and all I found was a article from the iPhone SDK on using the iPhone's accelerometer. They suggested using a low pass filter for seperating out acceleration due to gravity and high pass for acceleration due to motion. I get the idea of filtering out noise, but I don't get the idea of using a filter to seperate components. I assume the basic idea is that acceleration, velocity and position are all contineous functions in the real world. Then that the acceleration due to motion is more likely to change rapidly than the direction of the down vector. One thought is the accelerometer on the iPhone is mainly used, pretty much, stationary, i.e. you're setting at your desk playing with the phone. You likely can't play those motion based games in an SUV on a mountain twistie. Another is they are limited by processing power and mainly focused on immediate feedback. I'm using a log. I can make as many passes as I please. I can combine in gps and even uSGS topological data. At $90 I could add another one of these devices if it had any practical value. Neither computational complexity nor processing time is really an issue for me. So I'm looking for ideas. That would include both how to process these logs as well as basically experiments to get familar with the device. I mounted it in a box and rotated it various ways at roughly 90 degrees to check it's calibration. I compared that to 0g readings dropping it about 12 feet. I have a little rc car to attach it to and thought I would film it buzzing around to accurately timestamp it. So that and then ideas on how to seperate those components.