[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
A review of the hand gesture recognition system: Current progress and future directions
This paper reviewed the sign language research in the vision-based hand gesture
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
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 …
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 …
American sign language recognition and training method with recurrent neural network
Though American sign language (ASL) has gained recognition from the American society,
few ASL applications have been developed with educational purposes. Those designed …
few ASL applications have been developed with educational purposes. Those designed …
Automatic translation of sign language with multi-stream 3D CNN and generation of artificial depth maps
Sign languages play an essential role in the cognitive and social development of the deaf,
consisting of a natural form of communication and being a symbol of identity and culture …
consisting of a natural form of communication and being a symbol of identity and culture …
Suitability of the Kinect sensor and Leap Motion controller—A literature review
As the need for sensors increases with the inception of virtual reality, augmented reality and
mixed reality, the purpose of this paper is to evaluate the suitability of the two Kinect devices …
mixed reality, the purpose of this paper is to evaluate the suitability of the two Kinect devices …
Spatial–temporal feature-based End-to-end Fourier network for 3D sign language recognition
SB Abdullahi, K Chamnongthai… - Expert Systems with …, 2024 - Elsevier
Most dynamic sign word misclassifications are caused by redundant spatial–temporal (SPT)
feature pruning that lacks language semantic and temporal dependencies. SPT feature …
feature pruning that lacks language semantic and temporal dependencies. SPT feature …
[Retracted] Hypertuned Deep Convolutional Neural Network for Sign Language Recognition
A Mannan, A Abbasi, AR Javed… - Computational …, 2022 - Wiley Online Library
Sign language plays a pivotal role in the lives of impaired people having speaking and
hearing disabilities. They can convey messages using hand gesture movements. American …
hearing disabilities. They can convey messages using hand gesture movements. American …
British sign language recognition via late fusion of computer vision and leap motion with transfer learning to american sign language
In this work, we show that a late fusion approach to multimodality in sign language
recognition improves the overall ability of the model in comparison to the singular …
recognition improves the overall ability of the model in comparison to the singular …