Sign language, as a different form of the communication language, is important to large
groups of people in society. There are different signs in each sign language with variability …

In the recent years, a steady growth of Hand Gesture Recognition (HGR) based applications
has been observed. Thus, significant progress has been made in the field of hand detection …

Dynamic skeletal data, represented as the 2D/3D coordinates of human joints, has been
widely studied for human action recognition due to its high-level semantic information and …

The dynamic hand skeleton data have become increasingly attractive to widely studied for
the recognition of hand gestures that contain 3D coordinates of hand joints. Many …

Skeleton-based action recognition has been widely investigated considering their strong
adaptability to dynamic circumstances and complicated backgrounds. To recognize different …

Point clouds contain rich spatial information, which provides complementary cues for
gesture recognition. In this paper, we formulate gesture recognition as an irregular …

One of the challenges in computer vision models, especially sign language, is real-time
recognition. In this work, we present a simple yet low-complex and efficient model …

Despite the success of fully-supervised human skeleton sequence modeling, utilizing self-
supervised pre-training for skeleton sequence representation learning has been an active …

Sign language recognition is one of the fundamental ways to assist deaf people to
communicate with others. An accurate vision-based sign language recognition system using …

Cross-modal knowledge distillation deals with transferring knowledge from a model trained
with superior modalities (Teacher) to another model trained with weak modalities (Student) …