Spatial–temporal attention with graph and general neural network-based sign language recognition
Automatic sign language recognition (SLR) stands as a vital aspect within the realms of
human–computer interaction and computer vision, facilitating the conversion of hand signs …
human–computer interaction and computer vision, facilitating the conversion of hand signs …
Sign language recognition using graph and general deep neural network based on large scale dataset
Sign Language Recognition (SLR) represents a revolutionary technology aiming to
establish communication between hearing impaired and non-hearing impaired …
establish communication between hearing impaired and non-hearing impaired …
Multi-stream general and graph-based deep neural networks for skeleton-based sign language recognition
Sign language recognition (SLR) aims to bridge speech-impaired and general communities
by recognizing signs from given videos. However, due to the complex background, light …
by recognizing signs from given videos. However, due to the complex background, light …
Multi-stream graph-based deep neural networks for skeleton-based sign language recognition
Abstract Sign Language Recognition (SLR) aims to bridge speech-impaired and general
communities by recognizing signs from given videos. Researchers still face challenges …
communities by recognizing signs from given videos. Researchers still face challenges …
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 …
Deaf community. The signs comprise manual and non-manual articulators such as hand …
StepNet: Spatial-temporal Part-aware Network for Isolated Sign Language Recognition
The goal of sign language recognition (SLR) is to help those who are hard of hearing or deaf
overcome the communication barrier. Most existing approaches can be typically divided into …
overcome the communication barrier. Most existing approaches can be typically divided into …
Hierarchical Windowed Graph Attention Network and a Large Scale Dataset for Isolated Indian Sign Language Recognition
Automatic Sign Language (SL) recognition is an important task in the computer vision
community. To build a robust SL recognition system, we need a considerable amount of data …
community. To build a robust SL recognition system, we need a considerable amount of data …
Skeleton-based sign language recognition with attention-enhanced graph convolutional networks
W Liang, X Xu - Natural Language Processing and Chinese Computing …, 2021 - Springer
The natural language processing of sign language is an important task in the field of artificial
intelligence and information processing. In this paper, we propose an attention-enhanced …
intelligence and information processing. In this paper, we propose an attention-enhanced …
Skeleton aware multi-modal sign language recognition
Sign language is commonly used by deaf or speech impaired people to communicate but
requires significant effort to master. Sign Language Recognition (SLR) aims to bridge the …
requires significant effort to master. Sign Language Recognition (SLR) aims to bridge the …
StepNet: Spatial-temporal part-aware network for sign language recognition
Sign language recognition (SLR) aims to overcome the communication barrier for the
people with deafness or the people with hard hearing. Most existing approaches can be …
people with deafness or the people with hard hearing. Most existing approaches can be …