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Sign language recognition: A deep survey
Sign language, as a different form of the communication language, is important to large
groups of people in society. There are different signs in each sign language with variability …
groups of people in society. There are different signs in each sign language with variability …
[HTML][HTML] A survey on Sign Language machine translation
Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …
communicate on a daily basis. However, the communication with hearing people still faces …
Continuous sign language recognition with correlation network
Human body trajectories are a salient cue to identify actions in video. Such body trajectories
are mainly conveyed by hands and face across consecutive frames in sign language …
are mainly conveyed by hands and face across consecutive frames in sign language …
[HTML][HTML] Deepsign: Sign language detection and recognition using deep learning
The predominant means of communication is speech; however, there are persons whose
speaking or hearing abilities are impaired. Communication presents a significant barrier for …
speaking or hearing abilities are impaired. Communication presents a significant barrier for …
Natural language-assisted sign language recognition
Sign languages are visual languages which convey information by signers' handshape,
facial expression, body movement, and so forth. Due to the inherent restriction of …
facial expression, body movement, and so forth. Due to the inherent restriction of …
C2slr: Consistency-enhanced continuous sign language recognition
The backbone of most deep-learning-based continuous sign language recognition (CSLR)
models consists of a visual module, a sequential module, and an alignment module …
models consists of a visual module, a sequential module, and an alignment module …
Sign pose-based transformer for word-level sign language recognition
In this paper we present a system for word-level sign language recognition based on the
Transformer model. We aim at a solution with low computational cost, since we see great …
Transformer model. We aim at a solution with low computational cost, since we see great …
Self-emphasizing network for continuous sign language recognition
Hand and face play an important role in expressing sign language. Their features are
usually especially leveraged to improve system performance. However, to effectively extract …
usually especially leveraged to improve system performance. However, to effectively extract …
Deep learning for sign language recognition: Current techniques, benchmarks, and open issues
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …
effective local level sign language recognition (SLR) tools is essential. We conducted a …
[HTML][HTML] Artificial intelligence technologies for sign language
AI technologies can play an important role in breaking down the communication barriers of
deaf or hearing-impaired people with other communities, contributing significantly to their …
deaf or hearing-impaired people with other communities, contributing significantly to their …