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Vision-based hand pose estimation: A review
Computer Vision and Image Understanding, 2007Direct use of the hand as an input device is an attractive method for providing natural human-computer interaction (HCI). Currently, the only technology that satisfies the advanced requirements of hand-based input for HCI is glove-based sensing. This technology, however, has several drawbacks including that it hinders the ease and naturalness with ...
Ali Erol +4 more
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Hand Pose Estimation with Attention-and-Sequence Network
2018Hand pose estimation from depth images is an essential topic in computer vision. Despite the recent advancements in this area promoted by Convolutional Neural Network, accurate hand pose estimation is still a challenging problem. In this paper, we analyse the spatial relationship among hand joints, and discover that: (1) there exists independence of ...
Tianping Hu, Wenhai Wang, Tong Lu
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Hand Pose Estimation Using EMG Signals
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007In this paper, we report a hand pose estimation using electromyogram (EMG) signals consisting of two methods. One is a method of hand motion classification with a support vector machine (SVM). The other is a method of operator's joint angle estimation based on EMG-Joint angle models, which express the linear relationships between the EMG signals and ...
Masairo, Yoshikawa +2 more
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A variational approach to monocular hand-pose estimation
Computer Vision and Image Understanding, 2010In this paper, we propose a model-based approach to recover 3D hand pose from 2D images. To this end, we describe the hand structure using a compact 3D articulated model and reformulate pose estimation as a binary image segmentation problem aiming to separate the hand from the background.
de La Gorce, Martin, Paragios, Nikos
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Combination of Positions and Angles for Hand Pose Estimation
2019This paper deals with the estimation of hand pose from a single depth image. We present a method that is based on a description of the hand pose via local rotations of bones trained discriminatively in an end-to-end fashion using a convolutional neural network. We compare our method with existing approach of hand pose estimation of 3D locations of hand
Jakub Kanis, Zdenek Krnoul, Marek Hrúz
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A Framework for Articulated Hand Pose Estimation and Evaluation
2015We present in this paper a framework for articulated hand pose estimation and evaluation. Within this framework we implemented recently published methods for hand segmentation and inference of hand postures. We further propose a new approach for the segmentation and extend existing convolutional network based inference methods. Additionally, we created
Gernot Riegler +3 more
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Tactile-Based In-Hand Object Pose Estimation
2017This paper presents a method to estimate the pose of an object inside a robotic hand by exploiting contact and joint position information. Once an initial visual estimation is provided, a Bootstrap Particle Filter is used to evaluate multiple hypothesis for the object pose.
David Álvarez 0001 +2 more
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Optimized convolutional pose machine for 2D hand pose estimation
Journal of Visual Communication and Image Representation, 2022Tianhong Pan, Zheng Wang, Yuan Fan
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TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation
Expert Systems With Applications, 2023Razieh Rastgoo +2 more
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