Results 21 to 30 of about 20,260 (228)
A Novel Communication System For Deaf And Dumb People using gesture [PDF]
Human Beings know each other and contact with themselves through thoughts and ideas.The best way to present our idea is through speech. Some people don’t have the power of speech; the only way they communicate with others is through sign language.
Ambavane Pritesh +5 more
doaj +1 more source
Boundary-Adaptive Encoder With Attention Method for Chinese Sign Language Recognition
The sign language signal has hierarchically related information over short and long distances. Due to the intricate temporal correlation of input sequences, Chinese sign language recognition (SLR) has a modeling challenge. The conventional encoders based
Shiliang Huang, Zhongfu Ye
doaj +1 more source
Sign language is the most important way of communication for hearing-impaired people. Research on sign language recognition can help normal people understand sign language. We reviewed the classic methods of sign language recognition, and the recognition
Lu Meng, Ronghui Li
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Multi-Information Spatial–Temporal LSTM Fusion Continuous Sign Language Neural Machine Translation
There are two basic problems in sign language recognition (SLR): (a) isolated word SLR and (b) continuous SLR. Most of the existing continuous SLR methods are extensions of the isolated word SLR methods. These methods use the isolated word SLR results as
Qinkun Xiao +3 more
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Background: Sign language is an essential means of communication for hearing-impaired individuals. Objective: We aimed to develop an American sign language recognition dataset and use it in the deep learning model which depends on neural networks to ...
Ahmed KASAPBAŞI +3 more
doaj +1 more source
Hardware acceleration of number theoretic transform for zk‐SNARK
An FPGA‐based hardware accelerator with a multi‐level pipeline is designed to support the large‐bitwidth and large‐scale NTT tasks in zk‐SNARK. It can be flexibly scaled to different scales of FPGAs and has been equipped in the heterogeneous acceleration system with the help of HLS and OpenCL.
Haixu Zhao +6 more
wiley +1 more source
Exploring MediaPipe optimization strategies for real-time sign language recognition
The present study meticulously investigates optimization strategies for real-time sign language recognition (SLR) employing the MediaPipe framework. We introduce an innovative multi-modal methodology, amalgamating four distinct Long Short-Term Memory ...
Phuoc Thanh Nguyen +5 more
doaj +3 more sources
Chinese sign language recognition based on surface electromyography and motion information.
Sign language (SL) has strong structural features. Various gestures and the complex trajectories of hand movements bring challenges to sign language recognition (SLR).
Wenyu Li +3 more
doaj +1 more source
Several researchers have proposed systems with high recognition rates for sign language recognition. Recently, there has also been an increase in research that uses multiple recognition methods and further fuses their results to improve recognition rates.
Noriaki Hori, Masahito Yamamoto
doaj +1 more source
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 shapes, upper body movement, and facial expressions.
Oğulcan Özdemir +2 more
doaj +1 more source

