Georgia Tech Gesture Toolkit: Supporting Experiments in Gesture Recognition (Westeyn, et al – 2003)

Current Mood: studious

Blogs I Commented On:

• Pankaj Rajan
• Aaron Wolin
• Brandon Paulson

Summary:
This paper describes a toolkit called the Georgia Tech Gesture Toolkit for developing gesture-based recognition systems. The toolkit is first prepared by modeling each gesture as a separate HMM, specifying a rule-based for the possible sequences of gestures, and collecting and annotating data in numerical vector form, called feature vectors, over which the toolkit operates. The toolkit is trained and validated on using cross-validation and leave-one-out validation. The rest of the paper discusses various applications which use this toolkit.

Discussion:
The paper discusses what appears to be a viable toolkit for general gesture recognition. It’s hard to judge how versatile this toolkit really is given the lame applications discussed later on in the paper, but it’s definitely worth taking a look. My primary gripe is the requirement of a grammar to specify a gesture. It’s not too bad for simple gestures, but for more practical ones, I’m guessing the grammar would have to be huge to handle all possible cases.