Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors
In contrast to speech recognition, whose speech features have been extensively explored in
the research literature, feature extraction in Sign Language Recognition (SLR) is still a very …
the research literature, feature extraction in Sign Language Recognition (SLR) is still a very …
[PDF][PDF] Dense Temporal Convolution Network for Sign Language Translation.
The sign language translation (SLT) which aims at translating a sign language video into
natural language is a weakly supervised task, given that there is no exact mapping …
natural language is a weakly supervised task, given that there is no exact mapping …
Connectionist temporal fusion for sign language translation
Continuous sign language translation (CSLT) is a weakly supervised problem aiming at
translating vision-based videos into natural languages under complicated sign linguistics …
translating vision-based videos into natural languages under complicated sign linguistics …
Hierarchical recurrent deep fusion using adaptive clip summarization for sign language translation
Vision-based sign language translation (SLT) is a challenging task due to the complicated
variations of facial expressions, gestures, and articulated poses involved in sign linguistics …
variations of facial expressions, gestures, and articulated poses involved in sign linguistics …
[PDF][PDF] Summarization of Own Contributory Efforts in the Field of Indian Sign Language Recognition System
PR Futane, RV Dharaskar, VM Thakare - National Conference on Innovative … - academia.edu
Sign language forms a major communication media among the deaf people through which
they try to communicate with others. They successfully communicate with each other when …
they try to communicate with others. They successfully communicate with each other when …