Gesture recognition
is a topic in computer science and language technology with the goal of
interpreting human gestures via mathematical algorithms. Gestures can originate
from any bodily motion or state but commonly originate from the face or hand.
Current focuses in the field include emotion recognition from the face and hand
gesture recognition. 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.
Gesture recognition
can be seen as a way for computers to begin to understand human body language,
thus building a richer bridge between machines and humans than primitive text
user interfaces or even GUIs , which still limit the
majority of input to keyboard and mouse.
Gesture recognition
is a topic in computer science and language technology with the goal of
interpreting human gestures via mathematical algorithms. Gestures can originate
from any bodily motion or state but commonly originate from the face or hand.
Current focuses in the field include emotion recognition from the face and hand
gesture recognition. 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.
Gesture recognition
can be seen as a way for computers to begin to understand human body language,
thus building a richer bridge between machines and humans than primitive text
user interfaces or even GUIs (graphical user interfaces), which still limit the
majority of input to keyboard and mouse.
Gesture recognition
enables humans to interface with the machine (HMI) and interact naturally
without any mechanical devices. Using the concept of gesture recognition, it is
possible to point a finger at the computer screen so that the cursor will move
accordingly. This could potentially make conventional input devices such as
mouse, keyboards and even touch-screens redundant. Gesture recognition can be
conducted with techniques from computer vision and image processing. Interface
with computers using gestures of the human body, typically hand movements. In
gesture recognition technology, a camera reads the movements of the human body
and communicates the data to a computer that uses the gestures as input to
control devices or applications. For example, a person clapping his hands
together in front of a camera can produce the sound of cymbals being crashed
together when the gesture is fed through a computer.
One way gesture
recognition is being used is to help the physically impaired to interact with
computers, such as interpreting sign language. The technology also has the
potential to change the way users interact with computers by eliminating input
devices such as joysticks, mice andkeyboards and allowing the unencumbered body
to give signals to the computer through gestures such as finger pointing. Unlike
haptic interfaces, gesture recognition does not require the user to wear any
special equipment or attach any devices to the body. The gestures of the body
are read by a camera instead of sensors attached to a device such as adata
glove. In addition to hand and body movement, gesture recognition technology
also can be used to read facial and speech expressions , and
eye movements.
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