Results 11 to 20 of about 38,538 (207)

Hand–Object Pose Estimation Based on Anchor Regression from a Single Egocentric Depth Image [PDF]

open access: yesSensors
To precisely understand the interaction behaviors of humans, a computer vision system needs to accurately acquire the poses of the hand and its manipulated object. Vision-based hand–object pose estimation has become an important research topic.
Jingang Lin   +3 more
doaj   +2 more sources

Multihead Self Attention Hand Pose Estimation [PDF]

open access: yesE3S Web of Conferences, 2020
In This paper, we propose a hand pose estimation neural networks architecture named MSAHP which can improve PCK (percentage correct keypoints) greatly by fusing self-attention module in CNN (Convolutional Neural Networks).
Zhang Zhiqin   +3 more
doaj   +1 more source

3D Hand Pose Estimation via Graph-Based Reasoning

open access: yesIEEE 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
doaj   +1 more source

Implicit Semantic Data Augmentation for Hand Pose Estimation

open access: yesIEEE Access, 2022
Data augmentation is a well-known technique used for improving the generalization performance of modern neural networks. After the success of several traditional random data augmentation for images (including flipping, translation, or rotation), a recent
Kyeongeun Seo   +3 more
doaj   +1 more source

The Hand Pose Estimation Model in Measuring Range of Motion

open access: yesPhilippine 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
doaj   +1 more source

Attention-Based Pose Sequence Machine for 3D Hand Pose Estimation

open access: yesIEEE 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
doaj   +1 more source

Hand pose estimation based on improved NSRM network

open access: yesEURASIP Journal on Advances in Signal Processing, 2023
Hand pose estimation is the basis of dynamic gesture recognition. In vision-based hand pose estimation, the performance of hand pose estimation is affected due to the high flexibility of hand joints, local similarity and severe occlusion among hand ...
Shiqiang Yang   +4 more
doaj   +1 more source

Stereo Feature Learning Based on Attention and Geometry for Absolute Hand Pose Estimation in Egocentric Stereo Views

open access: yesIEEE 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
doaj   +1 more source

Semi-Supervised Joint Learning for Hand Gesture Recognition from a Single Color Image

open access: yesSensors, 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
doaj   +1 more source

In-Hand Pose Estimation Using Hand-Mounted RGB Cameras and Visuotactile Sensors

open access: yesIEEE Access, 2023
This paper proposes a method to estimate the 6D pose of an object grasped by a robot hand using RGB cameras mounted on the palm and visuotactile sensors installed at the fingertips.
Yuan Gao   +5 more
doaj   +1 more source

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