Motorcycle Overlay

[gplracerx]

Bump!

Also, is there a way for the HLT to completely ignore the acceleration inputs, so if I want to use that I just select "calculate" and don't gather 30Hz of useless data? I guess the files would be much smaller, easier to be handled and much more accurate to the motorcyclists needs.

Cheers

The accelerometer update rate has nothing to do with file size. It's the GPS update rate that counts. For people like me who care about the accuracy of the data, the highest accelerometer update rate provides the highest accuracy readings. A lower update rate gives smoother looking curves because they are over smoothed. The maximum lateral acceleration will, for example, be lower than the actual maximum lateral acceleration.

[ambordokan]

I beg to differ. At least on my iPhone4, the accelerometer data is all over the place when used a motorcycle without proper smothering. It's not more accurate at all.

[Harry]

I beg to differ. At least on my iPhone4, the accelerometer data is all over the place when used a motorcycle without proper smothering. It's not more accurate at all.

You need to calculate the values (think we had this discussion already?), the measured (lateral) values make no sense currently.

- Harry

[ambordokan]

I beg to differ. At least on my iPhone4, the accelerometer data is all over the place when used a motorcycle without proper smothering. It's not more accurate at all.

You need to calculate the values (think we had this discussion already?), the measured (lateral) values make no sense currently.

- Harry

We did, Harry, I was just making my point there.

Thanks anyway!

[gplracerx]

I beg to differ. At least on my iPhone4, the accelerometer data is all over the place when used a motorcycle without proper smothering. It's not more accurate at all.

You need to calculate the values (think we had this discussion already?), the measured (lateral) values make no sense currently.

- Harry

We did, Harry, I was just making my point there.

Thanks anyway!

And you're still missing the point. Smoothing does not improve accuracy. If the data are bad, smoothing doesn't make them better. It just disguises the problem. It doesn't improve precision either. The serial autocorrelation introduced by smoothing decreases the degrees of freedom, the denominator in the calculation of the standard deviation.