A Survey on Hand Pose Estimation with Wearable Sensors and Computer-Vision-Based Methods [PDF]
Sensors, 2020 Real-time sensing and modeling of the human body, especially the hands, is an important research endeavor for various applicative purposes such as in natural human computer interactions.
Weiya Chen +7 more
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SDFPoseGraphNet: Spatial Deep Feature Pose Graph Network for 2D Hand Pose Estimation [PDF]
Sensors, 2023 In the field of computer vision, hand pose estimation (HPE) has attracted significant attention from researchers, especially in the fields of human–computer interaction (HCI) and virtual reality (VR).
Sartaj Ahmed Salman +2 more
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InterNet+: A Light Network for Hand Pose Estimation [PDF]
Sensors, 2021 Hand pose estimation from RGB images has always been a difficult task, owing to the incompleteness of the depth information. Moon et al. improved the accuracy of hand pose estimation by using a new network, InterNet, through their unique design.
Yang Liu +3 more
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3D Hand Pose Estimation Based on Five-Layer Ensemble CNN [PDF]
Sensors, 2021 Estimating accurate 3D hand pose from a single RGB image is a highly challenging problem in pose estimation due to self-geometric ambiguities, self-occlusions, and the absence of depth information. To this end, a novel Five-Layer Ensemble CNN (5LENet) is
Lili Fan, Hong Rao, Wenji Yang
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SARN: Shifted Attention Regression Network for 3D Hand Pose Estimation [PDF]
Bioengineering, 2023 Hand pose estimation (HPE) plays an important role during the functional assessment of the hand and in potential rehabilitation. It is a challenge to predict the pose of the hand conveniently and accurately during functional tasks, and this limits the ...
Chenfei Zhu +4 more
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Coordinate-Corrected and Graph-Convolution-Based Hand Pose Estimation Method [PDF]
SensorsTo address the problem of low accuracy in joint point estimation in hand pose estimation methods due to the self-similarity of fingers and easy self-obscuration of hand joints, a hand pose estimation method based on coordinate correction and graph ...
Dang Rong, Feng Gang
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Real-Time Energy Efficient Hand Pose Estimation: A Case Study [PDF]
Sensors, 2020 The estimation of human hand pose has become the basis for many vital applications where the user depends mainly on the hand pose as a system input. Virtual reality (VR) headset, shadow dexterous hand and in-air signature verification are a few examples ...
Mhd Rashed Al Koutayni +7 more
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CrossFuNet: RGB and Depth Cross-Fusion Network for Hand Pose Estimation [PDF]
Sensors, 2021 Despite recent successes in hand pose estimation from RGB images or depth maps, inherent challenges remain. RGB-based methods suffer from heavy self-occlusions and depth ambiguity. Depth sensors rely heavily on distance and can only be used indoors, thus
Xiaojing Sun +5 more
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Domain Adaptive Hand Pose Estimation Based on Self-Looping Adversarial Training Strategy [PDF]
Sensors, 2022 In recent years, with the development of deep learning methods, hand pose estimation based on monocular RGB images has made great progress. However, insufficient labeled training datasets remain an important bottleneck for hand pose estimation.
Rui Jin, Jianyu Yang
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Synthesizing Depth Hand Images with GANs and Style Transfer for Hand Pose Estimation [PDF]
Sensors, 2019 Hand pose estimation is a critical technology of computer vision and human-computer interaction. Deep-learning methods require a considerable amount of tagged data. Accordingly, numerous labeled training data are required.
Wangyong He +4 more
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