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Gesture recognition is an area of research and development in computer science and language technology concerned with the recognition and interpretation of human gestures. A subdiscipline of computer vision , [ citation needed ] it employs mathematical algorithms to interpret gestures.
The Hamburg Sign Language Notation System (HamNoSys) is a transcription system for all sign languages (including American sign language). It has a direct correspondence between symbols and gesture aspects, such as hand location, shape and movement. [1] It was developed in 1984 at the University of Hamburg, Germany. [2]
Sign Language Recognition (shortened generally as SLR) is a computational task that involves recognizing actions from sign languages. [1] This is an essential problem to solve especially in the digital world to bridge the communication gap that is faced by people with hearing impairments.
Finger tracking of two pianists' fingers playing the same piece (slow motion, no sound) [1]. In the field of gesture recognition and image processing, finger tracking is a high-resolution technique developed in 1969 that is employed to know the consecutive position of the fingers of the user and hence represent objects in 3D.
ProDeaf (WebLibras) [14] is a computer software that can translate both text and voice into Portuguese Libras (Portuguese Sign Language) "with the goal of improving communication between the deaf and hearing." [15] There is currently a beta edition in production for American Sign Language as well. The original team began the project in 2010 ...
The more active hand is termed the dominant hand whereas the less active hand is non-dominant. [23] The active hand is the same as the signer's dominant hand, although it is possible to switch the hands' role. [24] The two hands allow signers to represent two entities at the same time, although with some limitations.
Manual gesture in the sense of communicative co-speech gesture does not include the gesture-signs of sign languages, even though sign language is communicative and primarily produced using the hands, because the gestures in sign language are not used to intensify or modify the speech produced by the vocal tract, rather they communicate fully ...
Articulatory gestures are the actions necessary to enunciate language. Examples of articulatory gestures are the hand movements necessary to enunciate sign language and the mouth movements of speech. In semiotic terms, these are the physical embodiment (signifiers) of speech signs, which are gestural by nature (see below).