Hear sign language: A real-time end-to-end sign language recognition system
Sign language recognition (SLR) bridges the communication gap between the hearing-
impaired and the ordinary people. However, existing SLR systems either cannot provide …
impaired and the ordinary people. However, existing SLR systems either cannot provide …
Sign language recognition using graph and general deep neural network based on large scale dataset
Sign Language Recognition (SLR) represents a revolutionary technology aiming to
establish communication between hearing impaired and non-hearing impaired …
establish communication between hearing impaired and non-hearing impaired …
MyoSign: enabling end-to-end sign language recognition with wearables
Automatic sign language recognition is an important milestone in facilitating the
communication between the deaf community and hearing people. Existing approaches are …
communication between the deaf community and hearing people. Existing approaches are …
Hand gesture recognition for multi-culture sign language using graph and general deep learning network
Hand gesture-based Sign Language Recognition (SLR) serves as a crucial communication
bridge between hard of hearing and non-deaf individuals. The absence of a universal sign …
bridge between hard of hearing and non-deaf individuals. The absence of a universal sign …
An efficient two-stream network for isolated sign language recognition using accumulative video motion
H Luqman - IEEE Access, 2022 - ieeexplore.ieee.org
Sign language is the primary communication medium for persons with hearing impairments.
This language depends mainly on hand articulations accompanied by nonmanual gestures …
This language depends mainly on hand articulations accompanied by nonmanual gestures …
Word-level deep sign language recognition from video: A new large-scale dataset and methods comparison
Vision-based sign language recognition aims at helping the hearing-impaired people to
communicate with others. However, most existing sign language datasets are limited to a …
communicate with others. However, most existing sign language datasets are limited to a …
Multi-cue temporal modeling for skeleton-based sign language recognition
Sign languages are visual languages used as the primary communication medium for the
Deaf community. The signs comprise manual and non-manual articulators such as hand …
Deaf community. The signs comprise manual and non-manual articulators such as hand …
L-sign: Large-vocabulary sign gestures recognition system
Z Zheng, Q Wang, D Yang, Q Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Understanding sign gestures is an essential step to helping individuals with hearing
impaired. The existing works can only identify a small set of gestures accurately and the …
impaired. The existing works can only identify a small set of gestures accurately and the …
Deep learning for sign language recognition: Current techniques, benchmarks, and open issues
M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
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 analysis using multimodal data
Voice-controlled personal and home assistants (such as the Amazon Echo and Apple Siri)
are becoming increasingly popular for a variety of applications. However, the benefits of …
are becoming increasingly popular for a variety of applications. However, the benefits of …