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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.
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.
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]
The history of automatic sign language translation started with the development of hardware such as finger-spelling robotic hands. In 1977, a finger-spelling hand project called RALPH (short for "Robotic Alphabet") created a robotic hand that can translate alphabets into finger-spellings. [2]
Spoken language is by and large linear; only one sound can be made or received at a time. Sign language, on the other hand, is visual and, hence, can use a simultaneous expression, although this is limited articulatorily and linguistically. Visual perception allows processing of simultaneous information.
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.
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 ...
Most sign language "interpreting" seen on television in the 1970s and 1980s would have in fact been a transliteration of an oral language into a manually coded language. The emerging recognition of sign languages in recent times has curbed the growth of manually coded languages, and in many places interpreting and educational services now favor ...