News
Workshop interne avec l’équipe de l’EPFL-ECAL-lab pour évaluer lubyk. Si tout va bien, on aura quelques démos à mettre en ligne…
Nous travaillons actuellement sur le spectacle des bateaux pour nulle part prévu pour l’automne 2012.
Where is the bug ?
There must be a bug somewhere.. PCA object & Svm object working hand in hand should produce better results then the tiring sound .. hey no-sound (got you) thing. My back hurts (too much taping with my foot).
Help me catch the big hidden bug that spoils all the results from the current movement recognition setup for home.
When properly setup, PCA object & Svm object are powerful tools. Svm recognizes these ugly digits:
If you do not believe me, you can read about HeroSvm.
Doing some google walking, I fell on a paper on Transformation Invariance in Pattern Recognition and thought this might be the main weakness of our setup: the movement is only recognized during a very short window and once the movement is past, noise is recognized. If I had a way to make the recognition sticky (using a probability threshold for example), I could easily filter the “noisy recognitions” but I could not find a way to get a probability out of SVM. I tried using the “votes” (how many times a class “wins” when competing two by two with the other classes) but it is not really convincing (too few classes for the moment).
It might be time to ask the specialists for some help… Or try Hidden Markov Models.