Results 41 to 50 of about 3,176,340 (283)
Hands Deep in Deep Learning for Hand Pose Estimation
CoRR, 2015 We introduce and evaluate several architectures for Convolutional Neural Networks to predict the 3D joint locations of a hand given a depth map. We first show that a prior on the 3D pose can be easily introduced and significantly improves the accuracy and reliability of the predictions.
Markus Oberweger +2 more
openaire +3 more sources
Hand Pose Estimation: A Survey
CoRR, 2019 The success of Deep Convolutional Neural Networks (CNNs) in recent years in almost all the Computer Vision tasks on one hand, and the popularity of low-cost consumer depth cameras on the other, has made Hand Pose Estimation a hot topic in computer vision field. In this report, we will first explain the hand pose estimation problem and will review major
openaire +3 more sources
Benchmarking 2D Egocentric Hand Pose Datasets
IEEE AccessHand pose estimation from egocentric video is a topic of significant interest with broad implications for human-computer interactions, assistive technologies, activity recognition, and robotics.
Olga Taran +2 more
doaj +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
, 2012 Hand pose detection is one of the new important research fields, especially because of its applications in the field of human machine interaction. It benefits deaf and mute people, who cannot use voice recognition systems.
Mahmood, Ausif +2 more
core +1 more source
Action Recognition via Multi-View Perception Feature Tracking for Human–Robot Interaction
RoboticsHuman–Robot Interaction (HRI) depends on robust perception systems that enable intuitive and seamless interaction between humans and robots. This work introduces a multi-view perception framework designed for HRI, incorporating object detection and ...
Chaitanya Bandi, Ulrike Thomas
doaj +1 more source
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
doaj +1 more source
Structure‐forward targeting of claudins with synthetic binders
FEBS Letters, EarlyView.Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
FEBS Letters, EarlyView.Synechocystis strains deficient in succinate dehydrogenase (SDH) secrete more succinate than the WT under dark anaerobic conditions, supporting that SDH then primarily acts as SDH, not as a fumarate reductase. L‐aspartate oxidase (Laspo) from Synechocystis is functional under anaerobic conditions, reducing fumarate to succinate.
Kateryna Kukil +3 more
wiley +1 more source
Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, 2020 The automatic recognition of how people use their hands and fingers in natural settings -- without instrumenting the fingers -- can be useful for many mobile computing applications. To achieve such an interface, we propose a vision-based 3D hand pose estimation framework using a wrist-worn camera.
Wu, E +5 more
openaire +2 more sources