In this study, we propose a fast alternative method to the Improved Dense Trajectories (IDT) method for sign language recognition. In our proposed method, ...
May 21, 2024 · This article presents an innovative approach for the task of isolated sign language recognition (SLR); this approach centers on the ...
Oct 9, 2023 · Sign Language Recognition is a breakthrough for communication among deaf-mute society and has been a critical research topic for years.
Missing: Isolated | Show results with:Isolated
This paper proposes a robust approach to recognize hand gesture which involves face parts like chin, cheeks, eyes and head in the context of sign language ...
Jul 15, 2020 · We propose a model for hand sign recognition using SSD, 3DCNN, and LSTM from RGB. •. We propose a dataset including 10′000 RGB sign videos.
For this reason, we present a new process based on two levels: a static-level aiming to extract the most head/hands key points and a dynamic-level with the ...
People also search for
This study introduces an innovative approach to isolated sign language word recognition using a novel deep learning model that combines the strengths of both ...
The goal of this project is to develop a deep learning model for real-time isolated sign language recognition in the PopSign smartphone app, making it more ...
Apr 7, 2022 · With one hand or two hands, the signer usu- ally communicates with others. The manual SLR is classified into isolated and continuous. 1) ...
Such an approach reduces the dimensionality of the vector used to represent the gesture [7] and allows fast recognition without the time-consuming depth maps.
People also search for