Reading #1 Gesture Recognition (Hammond)

The paper is pretty much gesture recognition GREC 101. First thing it stresses out is that each gesture must be a path of pen in a single stroke and drawn in the same manner each time to be properly recognized.

Each stroke is represented as a vector in a gesture recognition system. The paper introduces two gesture recognition methods:

Rubin's method, which is the most popular one, computes 13 features of the stroke vector and uses a trained linear classifier to recognize a gesture. Rubin's method is reported as %95 accurate.

Next comes up Long's gesture recognition, which extended Rubin's 13 feature to 22 (took 11 from Rubin's and added 11 more combinations).

The paper finally introduces Wobbrocks $1 Gesture Recognizer, an easy to implement method but slower than linear classifier at run time. But not that you can find it in a dollar store :P

Discussion:
My personal scientific (?) opinion is that this paper is a great 101 to the subject matter. It is an easy read and popular gesture recognizers are clearly outlined. Maybe, I'd expect to see some more on Long's recognizer and it's comparison to Rubin's.