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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 …
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 …
Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network
Abstract Sign Language Recognition is a breakthrough for communication among deaf-mute
society and has been a critical research topic for years. Although some of the previous …
society and has been a critical research topic for years. Although some of the previous …
Hand sign language recognition using multi-view hand skeleton
Hand sign language recognition from video is a challenging research area in computer
vision, which performance is affected by hand occlusion, fast hand movement, illumination …
vision, which performance is affected by hand occlusion, fast hand movement, illumination …
[HTML][HTML] American sign language alphabet recognition by extracting feature from hand pose estimation
Sign language is designed to assist the deaf and hard of hearing community to convey
messages and connect with society. Sign language recognition has been an important …
messages and connect with society. Sign language recognition has been an important …
Static hand gesture recognition in sign language based on convolutional neural network with feature extraction method using ORB descriptor and Gabor filter
In this paper, a new structure of deep learning neural network is introduced to identify the
static hand gesture in the sign language. The proposed structure includes the convolutional …
static hand gesture in the sign language. The proposed structure includes the convolutional …
Multi-modal zero-shot dynamic hand gesture recognition
Abstract Zero-Shot Learning (ZSL) has rapidly advanced in recent years. Towards
overcoming the annotation bottleneck in the Dynamic Hand Gesture Recognition (DHGR) …
overcoming the annotation bottleneck in the Dynamic Hand Gesture Recognition (DHGR) …
Sign language production: A review
Sign Language is the dominant yet non-primary form of communication language used in
the deaf and hearing-impaired community. To make an easy and mutual communication …
the deaf and hearing-impaired community. To make an easy and mutual communication …
User-independent American sign language alphabet recognition based on depth image and PCANet features
Sign language is the most natural and effective way for communications among deaf and
normal people. American Sign Language (ASL) alphabet recognition (ie fingerspelling) …
normal people. American Sign Language (ASL) alphabet recognition (ie fingerspelling) …
[HTML][HTML] Signer-independent arabic sign language recognition system using deep learning model
Every one of us has a unique manner of communicating to explore the world, and such
communication helps to interpret life. Sign language is the popular language of …
communication helps to interpret life. Sign language is the popular language of …