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Sign language recognition: A deep survey
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 …
groups of people in society. There are different signs in each sign language with variability …
Human pose estimation and its application to action recognition: A survey
Human pose estimation aims at predicting the poses of human body parts in images or
videos. Since pose motions are often driven by some specific human actions, knowing the …
videos. Since pose motions are often driven by some specific human actions, knowing the …
Deep learning for sign language recognition: Current techniques, benchmarks, and open issues
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …
effective local level sign language recognition (SLR) tools is essential. We conducted a …
A comprehensive survey on human pose estimation approaches
The human pose estimation is a significant issue that has been taken into consideration in
the computer vision network for recent decades. It is a vital advance toward understanding …
the computer vision network for recent decades. It is a vital advance toward understanding …
Vision-based human pose estimation via deep learning: A survey
Human pose estimation (HPE) has attracted a significant amount of attention from the
computer vision community in the past decades. Moreover, HPE has been applied to various …
computer vision community in the past decades. Moreover, HPE has been applied to various …
A comprehensive review of sign language recognition: Different types, modalities, and datasets
A machine can understand human activities, and the meaning of signs can help overcome
the communication barriers between the inaudible and ordinary people. Sign Language …
the communication barriers between the inaudible and ordinary people. Sign Language …
Control framework for collaborative robot using imitation learning-based teleoperation from human digital twin to robot digital twin
Despite the deployment of collaborative robots for various industrial processes, their
teaching and control remain comparatively difficult tasks compared with general industrial …
teaching and control remain comparatively difficult tasks compared with general industrial …
Efficient 3D human pose estimation from RGBD sensors
Human pose estimation is a core component in applications for which some level of human–
computer interaction is required, such as assistive robotics, ambient assisted living or the …
computer interaction is required, such as assistive robotics, ambient assisted living or the …
Weakly supervised adversarial learning for 3D human pose estimation from point clouds
Point clouds-based 3D human pose estimation that aims to recover the 3D locations of
human skeleton joints plays an important role in many AR/VR applications. The success of …
human skeleton joints plays an important role in many AR/VR applications. The success of …
Diverse hand gesture recognition dataset
Z Mohammadi, A Akhavanpour, R Rastgoo… - Multimedia Tools and …, 2024 - Springer
Abstract Hand Gesture Recognition (HGR) is a challenging computer vision task. Recently,
by taking advantages of deep learning-based models, HGR methods have achieved …
by taking advantages of deep learning-based models, HGR methods have achieved …