Published Paper Details:

Gesture recognition is a topic in computer science and language technology with the goal of using mathematical algorithms to analyze human gestures. Gestures can come from any physical move or state; however, they are most typically made with the hands or the face. Emotion identification from the face and hand gesture recognition are two of the field's current hot topics. Cameras and computer vision algorithms have been used in a variety of ways to read sign language. Gesture recognition techniques, on the other hand, are used to identify and recognize posture, gait, proxemics, and human behaviors. Gesture recognition can be seen of as a means for computers to begin to grasp human body language, creating a richer bridge between machines and humans than simple text user interfaces or even graphical user interfaces (graphical user interfaces). Gesture recognition technology aims to develop a system that can recognize certain human movements and utilize them to convey information or control devices. Gestures of the human body, especially hand movements, are used to interact with computers. A camera analyses the movements of the human body and sends the information to a computer, which then uses the gestures as input to operate objects or apps.