Gesture recognition helps us to know the meaning of human body movement, including the movement of hands, head, arms, face, or body. Today’s world is observing huge advances in visualization displays and this includes object trackers in AR applications.
The main purpose of this article is to explore gesture recognition in Facebook’s Spark AR Studio for an efficient human-computer interaction. It presents a method for tracking hand gestures and recognizing hand gestures by extracting unique invariant features from gestures.
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