Best Practices

The steps described in previous section are usually enough in order get you to the level of a working demo. You may, however, not be satisfied with the success rate: gestures are recognized most of the time but that might not be enough for a real world solution.

The main reason for this is the inconsistent nature of the way gestures are normally performed. The characteristics of gestures are influenced by many factors such as: how fast we do it, the size of our arm, your posture, etc. Consequently, even a simple movement, such as raising our hand may vary significantly.

Depending on your use case, to achieve good results you have to record multiple different variants of the same gesture. For example, if you want to know when people are raising their hand, you will have to be able to recognize different variants of that gesture, such as: raising hand quickly, raising hand slowly, man with long arm, woman with short are, while standing, while sitting, etc.

Each of these variants is considered a different gesture by the algorithm. Depending on your actual use case, your app should know how to combine the different variants together. For example, use 'or' condition if it's enough for you that any variant of the hand raise gesture has been identified.