Gesture recognition

Gesture recognition is an area of research and development in <a href="/facts/Computer_science/lN3pEyPz">computer science</a> and <a href="/facts/Language_technology/5gXDeyQh">language technology</a> concerned with the recognition and interpretation of human <a href="/facts/Gesture/fs7HV1Y6">gestures</a>. A subdiscipline of <a href="/facts/Computer_vision/Tl2Yyk66">computer vision</a>, it employs mathematical <a href="/facts/Algorithm/fnl5NmRt">algorithms</a> to interpret gestures. 
Gesture recognition offers a path for computers to begin to better understand and interpret <a href="/facts/Computer_processing_of_body_language/PdJhHGIA">human body language</a>, previously not possible through <a href="/facts/Text_user_interface/bngNtqIY">text</a> or unenhanced <a href="/facts/Graphical_user_interfaces/wBlQFWDP">graphical</a> user interfaces(GUI's).
Gestures can originate from any bodily motion or state, but commonly originate from the <a href="/facts/Face/I1PQ5YLY">face</a> or <a href="/facts/Hand/0yhW6deV">hand</a>. One area of the field is <a href="/facts/Emotion_recognition/yWGzqfhz">emotion recognition</a> derived from facial expressions and hand gestures. Users can make simple gestures to control or interact with devices without physically touching them.
Many approaches have been made using cameras and <a href="/facts/Computer_vision/Tl2Yyk66">computer vision</a> algorithms to interpret <a href="/facts/Sign_language/Wjfl9Db6">sign language</a>, however, the identification and recognition of posture, gait, <a href="/facts/Proxemics/gvHH6oR1">proxemics</a>, and human behaviors is also the subject of gesture recognition techniques.

Gesture recognition open-in-new

Gesture recognition