The results of this stage are known as features. The Recogniser takes the features from the Representer and uses them to classify the gesture that is being performed. Finally the appropriate actions will be taken. All gestures, irrespective of the device used, will require some method of determining the motion of the gesture. Additionally for glove devices some method of dealing with finger positions is required.
Various techniques are suitable for detecting finger positions.
The least flexible method is to literally hard-wire the glove device so that it generates appropriate codes depending on finger flexion. Another technique is to use the values of finger flexion to find a match in a look-up table. The difficulty with this method is that that the range of values given to each finger must be reasonably wide to account for the inaccuracies of the device and of the imprecise postures of the user's hand. This can result in the overlap of some postures, and so to mis-classification. This means that we can check the values of each finger to see if it is extended or flexed and discard any values not fully extended or flexed.