In this paper, we propose an alignment network with iterative optimization for weakly
supervised continuous sign language recognition. Our framework consists of two modules: a …

American Sign Language recognition is a crucial technology that aims to improve
accessibility and communication for the deaf and hard-of-hearing community. This research …

Sign language recognition involves modeling of multichannel information such as, hand
shapes, hand movements. This requires also sufficient sign language specific data. This is a …

Sign language recognition (SLR) is a challenging, but highly important research field for
several computer vision systems that attempt to facilitate the communication among the deaf …

Abstract Traditional Sign Language Recognition (SLR) suffers from the scale limitation of SL
datasets, which may lead to over-fitting in narrow context and application. In this paper, to …

Sign language recognition is vital for enhancing communication accessibility among the
Deaf and hard-of-hearing communities. In Japan, approximately 360,000 individuals with …

American Sign Language recognition is a difficult gesture recognition problem,
characterized by fast, highly articulate gestures. These are comprised of arm movements …

Developing successful sign language recognition, generation, and translation systems
requires expertise in a wide range of fields, including computer vision, computer graphics …

Sign language recognition (SLR) is a challenging problem, involving complex manual
features (ie, hand gestures) and fine-grained non-manual features (NMFs)(ie, facial …

Sign language serves as the primary meaning of communication for the deaf-mute
community. Different from spoken language, it commonly conveys information by the …