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- Which algorithm is used for hand gesture?
- What is the purpose of hand gestures?
- What are the basic hand gestures?
- What are the characteristics of gesture?
Which algorithm is used for hand gesture?
For gesture recognition, the K-Nearest Neighbor (KNN) algorithm is a supervised machine-learning algorithm. KNN is used for classification, by which a data point's classification is determined by how its neighbor is classified.
What is the purpose of hand gestures?
People use gestures to convey information that is not present in speech, and they sometimes do this without even realizing it. The listener uses the unstated information in the gesture to understand what is being said.
What are the basic hand gestures?
The system was used to classify six basic hand gestures: hand closing, hand opening, wrist flexion, wrist extension, index finger straightening, and thumb straightening.
What are the characteristics of gesture?
A gesture is a form of non-verbal communication or non-vocal communication in which visible bodily actions communicate particular messages, either in place of, or in conjunction with, speech. Gestures include movement of the hands, face, or other parts of the body.
