Update on motion recognition

So last week, I was looking at my two approaches towards motion recognition (live updating vs waiting for a motion to fully complete). I decided that it was best to combine these two approaches and get the best of both worlds (faster reaction time  and accuracy).

This is the basic workflow of how I recognize motions:

1. A motion has began and is in phase
I start tracking this motion. There is a set "learning period", where the framework records all data of this motion. Once the "learning period" has passed, the framework makes the best guess on what kind of gesture is being performed.

2. We have assigned a gesture to this motion
For every frame, we read in the current motion changes and we update the interface. Here we are basically implementing the live update approach.

3. The motion has been completed
Now, we look back at the complete motion data and use the old method at looking at the entire motion sequence data. We make any necessary adjustments to our gesture and correct the interface changes if the entire motion does not match or initial guess.

So, far this has worked relatively well. Basically what happens is that during the live-update phase, we have a constant update in our interface. Once the motion is complete, the interface makes the final changes and quickly changes to the final/correct position.

This is very comparable to momentum scrolling on current touchscreen smartphones and tablets: when you have your finger on the screen, the scrolling maps one-to-one based on your finger movement. Once you lift, the screen scrolls based on the final acceleration/velocity of your finger movement. Similarily in our approach, we basically have a one-to-one mapping during the actual motion. Once the motion is completed, we correct the change based on the entire motion.