Results 11 to 20 of about 13,712 (209)
The Hand Pose Estimation Model in Measuring Range of Motion
Philippine Journal of Orthopaedics, 2023 Objective. The COVID pandemic has challenged medical practitioners to perform clinical examinations remotely, including assessing the range of motion of the finger joints.
Josephine Mina +3 more
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3D Hand Pose Estimation via Graph-Based Reasoning
IEEE Access, 2021 Hand pose estimation from a single depth image has recently received significant attention owing to its importance in many applications requiring human-computer interaction.
Jae-Hun Song, Suk-Ju Kang
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IEEE Access, 2021 Egocentric hand pose estimation is significant for wearable cameras since the hand interactions are captured from an egocentric viewpoint. Several studies on hand pose estimation have recently been presented based on RGBD or RGB sensors.
Kyeongeun Seo +3 more
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Dual-Hand Motion Capture by Using Biological Inspiration for Bionic Bimanual Robot Teleoperation
Cyborg and Bionic Systems, 2023 Bionic bimanual robot teleoperation can transfer the grasping and manipulation skills of human dual hands to the bionic bimanual robots to realize natural and flexible manipulation.
Qing Gao +3 more
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Attention-Based Pose Sequence Machine for 3D Hand Pose Estimation
IEEE Access, 2020 Most of the existing methods for 3D hand pose estimation are performed from a single depth map. In that case, the depth missing challenges from input frames caused by hand self-occlusions and imaging quality lead to multi-valued mapping phenomenon and ...
Fangtai Guo +4 more
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Coarse-to-Fine Hand–Object Pose Estimation with Interaction-Aware Graph Convolutional Network
Sensors, 2021 The analysis of hand–object poses from RGB images is important for understanding and imitating human behavior and acts as a key factor in various applications.
Maomao Zhang +3 more
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Semi-Supervised Joint Learning for Hand Gesture Recognition from a Single Color Image
Sensors, 2021 Hand gesture recognition and hand pose estimation are two closely correlated tasks. In this paper, we propose a deep-learning based approach which jointly learns an intermediate level shared feature for these two tasks, so that the hand gesture ...
Chi Xu, Yunkai Jiang, Jun Zhou, Yi Liu
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3D hand pose and shape estimation from monocular RGB via efficient 2D cues
Computational Visual Media, 2023 Estimating 3D hand shape from a single-view RGB image is important for many applications. However, the diversity of hand shapes and postures, depth ambiguity, and occlusion may result in pose errors and noisy hand meshes.
Fenghao Zhang +5 more
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An Adaptive Viewpoint Transformation Network for 3D Human Pose Estimation
IEEE Access, 2020 Human pose estimation from a monocular image has attracted lots of interest due to its huge potential application in many areas. The performance of 2D human pose estimation has been improved a lot with the emergence of deep convolutional neural network ...
Guoqiang Liang +3 more
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Vietnam Journal of Computer Science, 2023 In this paper, we present an unified framework for understanding hand action from the first-person video. The proposed framework composes two main components. The first component estimates three-dimensional (3D) hand joints from RGB images.
Viet-Duc Le +6 more
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