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Gesture recognition

Topic in computer science and language technology / From Wikipedia, the free encyclopedia

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Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms.[1] It is a subdiscipline of computer vision. Gestures can originate from any bodily motion or state, but commonly originate from the face or hand. Focuses in the field include emotion recognition from face and hand gesture recognition since they are all expressions. Users can make simple gestures to control or interact with devices without physically touching them. Many approaches have been made using cameras and computer vision algorithms to interpret sign language, however, the identification and recognition of posture, gait, proxemics, and human behaviors is also the subject of gesture recognition techniques.[2] Gesture recognition can be seen as a way for computers to begin to understand human body language, thus building a better bridge between machines and humans than older text user interfaces or even GUIs (graphical user interfaces), which still limit the majority of input to keyboard and mouse and interact naturally without any mechanical devices.

Child's hand location and movement being detected by a simple gesture recognition algorithm
Middleware usually processes gesture recognition, then sends the results to the user.