feat: new method for user data calibration and collection #55
Description
One important factor to detect gestures is preliminary motion since every gesture has its own preliminary motion (different per person, of course). Recording not only EMG during a static gesture pose but also the gestures including their preliminary motion may boost the credibility of the predictions.
However, in order to achieve this, the calibration/recording needs to sample the user data more interactively. However, if it is achieved, we can compare the with and without preliminary motion classifier model performances.