Results 1 to 10 of about 16,053,742 (381)

DexYCB: A Benchmark for Capturing Hand Grasping of Objects [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
We introduce DexYCB, a new dataset for capturing hand grasping of objects. We first compare DexYCB with a related one through cross-dataset evaluation. We then present a thorough benchmark of state-of-the-art approaches on three relevant tasks: 2D object
Yu-Wei Chao   +11 more
semanticscholar   +1 more source

BBQ: A hand-built bias benchmark for question answering [PDF]

open access: yesFindings, 2021
It is well documented that NLP models learn social biases, but little work has been done on how these biases manifest in model outputs for applied tasks like question answering (QA).
Alicia Parrish   +7 more
semanticscholar   +1 more source

The “Federica” Hand [PDF]

open access: yesBioengineering, 2021
Hand prostheses partially restore hand appearance and functionalities. In particular, 3D printers have provided great opportunities by simplifying the manufacturing process and reducing costs. The “Federica” hand is 3D-printed and equipped with a single servomotor, which synergically actuates its five fingers by inextensible tendons; no springs are ...
Esposito D.   +5 more
openaire   +6 more sources

Hand to hand [PDF]

open access: yesJournal of General Internal Medicine, 2002
Examination of the hands has the potential to transform the encounter between physician and patient. Taking the hands conveys a sense of warmth and connectedness and is a means to communicate the physician's mindfulness. The hands can focus the examination on the individual patient as a complete human being, and not merely a disease or a collection of ...
Thomas B. Graboys, Susanna E. Bedell
openaire   +3 more sources

Learning dexterous in-hand manipulation [PDF]

open access: yesInt. J. Robotics Res., 2018
We use reinforcement learning (RL) to learn dexterous in-hand manipulation policies that can perform vision-based object reorientation on a physical Shadow Dexterous Hand. The training is performed in a simulated environment in which we randomize many of
Marcin Andrychowicz   +15 more
semanticscholar   +1 more source

2019 American College of Rheumatology/Arthritis Foundation Guideline for the Management of Osteoarthritis of the Hand, Hip, and Knee

open access: yesArthritis care & research, 2020
To develop an evidence‐based guideline for the comprehensive management of osteoarthritis (OA) as a collaboration between the American College of Rheumatology (ACR) and the Arthritis Foundation, updating the 2012 ACR recommendations for the management of
S. Kolasinski   +31 more
semanticscholar   +1 more source

Editorial

open access: yesIndialogs: Spanish Journal of India Studies, 2018
Much ink has been spilt on the question of 'how' philosophy might be taught in schools—on the forms of pedagogy appropriate to the subject, the levels of abstraction at which children can think, and the philosophical problems most likely to inspire their
Felicity Hand
doaj   +3 more sources

Neonatal Resuscitation in Low Volume Hospital Settings

open access: yesChildren, 2022
The vast majority of term newborns will begin breathing and make a successful transition to extrauterine life, whereas a small percentage of infants will require some intervention immediately after birth by a skilled provider [...]
Ivan Hand
doaj   +1 more source

Hand Keypoint Detection in Single Images Using Multiview Bootstrapping [PDF]

open access: yesComputer Vision and Pattern Recognition, 2017
We present an approach that uses a multi-camera system to train fine-grained detectors for keypoints that are prone to occlusion, such as the joints of a hand. We call this procedure multiview bootstrapping: first, an initial keypoint detector is used to
T. Simon   +3 more
semanticscholar   +1 more source

Learning to Estimate 3D Hand Pose from Single RGB Images [PDF]

open access: yesIEEE International Conference on Computer Vision, 2017
Low-cost consumer depth cameras and deep learning have enabled reasonable 3D hand pose estimation from single depth images. In this paper, we present an approach that estimates 3D hand pose from regular RGB images.
Christiane Zimmermann, T. Brox
semanticscholar   +1 more source

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