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
M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
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
DM Madhiarasan, P Roy, P Pratim - arXiv preprint arXiv:2204.03328, 2022 - arxiv.org
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
H Lee, SD Kim, MAU Al Amin - Mechatronics, 2022 - Elsevier
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 …
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 …
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 …
Efficient 3D human pose estimation from RGBD sensors
D Pascual-Hernández, NO de Frutos, I Mora-Jiménez… - Displays, 2022 - Elsevier
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 …