Results 31 to 40 of about 3,176,340 (283)

Hand Grasp Pose Prediction Based on Motion Prior Field

Biomimetics, 2023
Shared control of bionic robot hands has recently attracted much research attention. However, few studies have performed predictive analysis for grasp pose, which is vital for the pre-shape planning of robotic wrists and hands.
Xu Shi, Weichao Guo, Wei Xu, Xinjun Sheng   +3 more
doaj   +1 more source

A Robust Hand Pose Estimation Algorithm for Hand Rehabilitation [PDF]

, 2013
During a rehabilitation session, patient activity should be continuously monitored in order to correct wrong movements and to follow patient improvements. Therefore, the application of human motion tracking techniques to rehabilitation is finding more and more consensus.
Francesca Cordella, Francesco Di Corato, Loredana Zollo, Bruno Siciliano   +3 more
openaire   +3 more sources

A comparative study on unconstrained hand biometrics [PDF]

, 2011
Biometrics applied to mobile devices are of great interest for security applications. Daily scenarios can benefit of a combination of both the most secure systems and most simple and extended devices.
Bailador del Pozo, Gonzalo, Guerra Casanova, Javier, Santos Sierra, Alberto de, C. S. Avila, J. G. Casanova, A. de Santos Sierra, G. B. del Pozo, Sánchez Ávila, María del Carmen   +7 more
core   +1 more source

A New Filtering System for Using a Consumer Depth Camera at Close Range

Sensors, 2019
Using consumer depth cameras at close range yields a higher surface resolution of the object, but this makes more serious noises. This form of noise tends to be located at or on the edge of the realistic surface over a large area, which is an obstacle ...
Yuanxing Dai, Yanming Fu, Baichun Li, Xuewei Zhang, Tianbiao Yu, Wanshan Wang   +5 more
doaj   +1 more source

Content based image pose manipulation [PDF]

, 2009
This thesis proposes the application of space-frequency transformations to the domain of pose estimation in images. This idea is explored using the Wavelet Transform with illustrative applications in pose estimation for face images, and images of planar ...
Begley, Seán
core   +2 more sources

Towards pen‐holding hand pose recognition: A new benchmark and a coarse‐to‐fine PHHP recognition network

IET Biometrics, 2022
Hand pose recognition has been one of the most fundamental tasks in computer vision and pattern recognition, and substantial effort has been devoted to this field. However, owing to lack of public large‐scale benchmark dataset, there is little literature
Pingping Wu, Lunke Fei, Shuyi Li, Shuping Zhao, Xiaozhao Fang, Shaohua Teng   +5 more
doaj   +1 more source

A data-driven kinematic model of the human hand with soft-tissue artifact compensation mechanism for grasp synergy analysis [PDF]

, 2013
This paper presents a methodology to accurately record human finger postures during grasping. The main contribution consists of a kinematic model of the human hand reconstructed via magnetic resonance imaging of one subject that (i) is fully ...
Marino, Hamal, Marco Gabiccini, Hamal Marino, Stillfried, Georg, Matteo Bianchi, Gabiccini, Marco, Bianchi, Matteo, Georg Stillfried, Stillfried G   +8 more
core   +1 more source

Using 3D Hand Pose Data in Recognizing Human–Object Interaction and User Identification for Extended Reality Systems

Information
Object detection and action/gesture recognition have become imperative in security and surveillance fields, finding extensive applications in everyday life.
Danish Hamid, Muhammad Ehatisham Ul Haq, Amanullah Yasin, Fiza Murtaza, Muhammad Awais Azam   +4 more
doaj   +1 more source

An integer programming approach to hand pose estimation using depth data [PDF]

, 2022
This thesis introduces a novel approach to tackle the problem of estimating the pose of an hand from a single depth frame. We will come up with a scheme for finger and palm regions extraction, followed by a Mixed Integer Programming formulation to ...
Minto, Ludovico
core  

MLE-Loss Driven Robust Hand Pose Estimation

IEEE Access
This paper introduces a novel method for accurately estimating the 2D coordinates of hand keypoints from single static images, utilizing a sequential convolutional neural network optimized with Maximum Likelihood Estimation Loss.
Xudong Lou, Xin Lin, Xiangxian Zhu, Chen Chen   +3 more
doaj   +1 more source