Skeleton Data is all about: Dynamic Hand Gesture Recognition

It’s crucial to use hand gestures when communicating with one another: The task of utilizing hand gestures in technology is impacted by one of the most prevalent ways that people interact with their surroundings. Hand gesture analysis includes recognizing and position estimation of hands. Because the hand is smaller than other parts of the body, it is much harder to locate the pointing hand than other parts. The hand has greater complexity and more challenges due to differences between the cultural or individual factors of users and gestures invented from ad-hoc. The complications and divergences of finding hand gestures will deeply affect the recognition rate and accuracy. This paper emphasizes on summary of skeleton-based dynamic hand gesture technique, skeleton points extraction methods, merits and demerits, various applications, available data sets, and skeleton-based recognition methods. This paper also scrutinizes the performance of hand gesture recognition systems using skeleton data.