Results 21 to 30 of about 551 (165)
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Sign language recognition (SLR) is a weakly supervised task that annotates sign videos as textual glosses. Recent studies show that insufficient training caused by the lack of large-scale available sign datasets becomes the main bottleneck for SLR. Most SLR works thereby adopt pretrained visual modules and develop two mainstream solutions.
Jiangbin Zheng 0002 +7 more
openaire +4 more sources
SSL-SLR: Self-Supervised Representation Learning for Sign Language Recognition [PDF]
Trans. Mach. Learn. Res.Sign language recognition (SLR) is a machine learning task aiming to identify signs in videos. Due to the scarcity of annotated data, unsupervised methods like contrastive learning have become promising in this field. They learn meaningful representations by pulling positive pairs (two augmented versions of the same instance) closer and pushing ...
Basso Madjoukeng, Ariel +4 more
openaire +5 more sources
ZS-SLR: Zero-Shot Sign Language Recognition from RGB-D Videos
CoRR, 2021 Sign Language Recognition (SLR) is a challenging research area in computer vision. To tackle the annotation bottleneck in SLR, we formulate the problem of Zero-Shot Sign Language Recognition (ZS-SLR) and propose a two-stream model from two input modalities: RGB and Depth videos.
Razieh Rastgoo +2 more
openaire +3 more sources
Multi-cue temporal modeling for skeleton-based sign language recognition
Frontiers in Neuroscience, 2023 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
A Comparative Review on Applications of Different Sensors for Sign Language Recognition
Journal of Imaging, 2022 Sign language recognition is challenging due to the lack of communication between normal and affected people. Many social and physiological impacts are created due to speaking or hearing disability.
Muhammad Saad Amin +2 more
doaj +1 more source
Hardware acceleration of number theoretic transform for zk‐SNARK
Engineering Reports, EarlyView., 2023 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
A Survey on Sign Language Recognition and Training Module [PDF]
ITM Web of Conferences, 2023 Communication among the deaf and non-verbal communities has long reliedon sign language recognition. From all researchers around from early electric signal-based sign language identification to more recent recognition using machine/deep learning ...
Anjana Devi V. +2 more
doaj +1 more source
Deep Forest-Based Monocular Visual Sign Language Recognition
Applied Sciences, 2019 Sign language recognition (SLR) is a bridge linking the hearing impaired and the general public. Some SLR methods using wearable data gloves are not portable enough to provide daily sign language translation service, while visual SLR is more flexible to ...
Qifan Xue +3 more
doaj +1 more source
A Component-Based Vocabulary-Extensible Sign Language Gesture Recognition Framework
Sensors, 2016 Sign language recognition (SLR) can provide a helpful tool for the communication between the deaf and the external world. This paper proposed a component-based vocabulary extensible SLR framework using data from surface electromyographic (sEMG) sensors ...
Shengjing Wei +4 more
doaj +1 more source
A Novel Image-Based Arabic Hand Gestures Recognition Approach Using YOLOv7 and ArSL21L [PDF]
Fayoum University Journal of EngineeringRecognizing and documenting Arabic sign language has recently received much attention because it enhances communication between deaf persons and normal people.
Fatma Mazen, Mai Ezz-Eldin
doaj +1 more source