Sign language recognition systems: A decade systematic literature review
A Wadhawan, P Kumar - Archives of computational methods in …, 2021 - Springer
Despite the importance of sign language recognition systems, there is a lack of a Systematic
Literature Review and a classification scheme for it. This is the first identifiable academic …
Literature Review and a classification scheme for it. This is the first identifiable academic …
Review of three-dimensional human-computer interaction with focus on the leap motion controller
D Bachmann, F Weichert, G Rinkenauer - Sensors, 2018 - mdpi.com
Modern hardware and software development has led to an evolution of user interfaces from
command-line to natural user interfaces for virtual immersive environments. Gestures …
command-line to natural user interfaces for virtual immersive environments. Gestures …
An integrated mediapipe-optimized GRU model for Indian sign language recognition
Sign language recognition is challenged by problems, such as accurate tracking of hand
gestures, occlusion of hands, and high computational cost. Recently, it has benefited from …
gestures, occlusion of hands, and high computational cost. Recently, it has benefited from …
SignFi: Sign language recognition using WiFi
We propose SignFi to recognize sign language gestures using WiFi. SignFi uses Channel
State Information (CSI) measured by WiFi packets as the input and a Convolutional Neural …
State Information (CSI) measured by WiFi packets as the input and a Convolutional Neural …
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 …
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 …
Recognition of American sign language gestures in a virtual reality using leap motion
A Vaitkevičius, M Taroza, T Blažauskas… - Applied Sciences, 2019 - mdpi.com
Featured Application We describe a system that uses a Leap Motion device to recognize the
gestures performed by users while immersed in a Virtual Reality (VR). The developed …
gestures performed by users while immersed in a Virtual Reality (VR). The developed …
Indian sign language alphabet recognition system using CNN with diffGrad optimizer and stochastic pooling
India has the largest deaf population in the world and sign language is the principal medium
for such persons to share information with normal people and among themselves. Yet …
for such persons to share information with normal people and among themselves. Yet …
American sign language words recognition of skeletal videos using processed video driven multi-stacked deep LSTM
SB Abdullahi, K Chamnongthai - Sensors, 2022 - mdpi.com
Complex hand gesture interactions among dynamic sign words may lead to
misclassification, which affects the recognition accuracy of the ubiquitous sign language …
misclassification, which affects the recognition accuracy of the ubiquitous sign language …
Technological solutions for sign language recognition: a scoping review of research trends, challenges, and opportunities
Sign languages are critical in conveying meaning by the use of a visual-manual modality
and are the primary means of communication of the deaf and hard of hearing with their …
and are the primary means of communication of the deaf and hard of hearing with their …