Results 61 to 70 of about 211,957 (254)

Articulated Hand Pose Estimation Review

CoRR, 2016
With the increase number of companies focusing on commercializing Augmented Reality (AR), Virtual Reality (VR) and wearable devices, the need for a hand based input mechanism is becoming essential in order to make the experience natural, seamless and immersive.
openaire   +2 more sources

Sign Language Recognition Using Graph and General Deep Neural Network Based on Large Scale Dataset

IEEE Access
Sign Language Recognition (SLR) represents a revolutionary technology aiming to establish communication between hearing impaired and non-hearing impaired communities, surpassing traditional interpreter-based approaches. Existing efforts in automatic sign
Abu Saleh Musa Miah, Md. Al Mehedi Hasan, Satoshi Nishimura, Jungpil Shin   +3 more
doaj   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

FEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell, Cassy Ross, Panagiota S. Filippou, Bruno Silvester Lopes, Dominic Gilchrist, Paul Dean, Kamar Ameen‐Ali, Tora K. Smulders‐Srinivasan, Ahmad A. Khundakar   +8 more
wiley   +1 more source

Model-based Deep Hand Pose Estimation

CoRR, 2016
Previous learning based hand pose estimation methods does not fully exploit the prior information in hand model geometry. Instead, they usually rely a separate model fitting step to generate valid hand poses. Such a post processing is inconvenient and sub-optimal.
Xingyi Zhou, Qingfu Wan, Wei Zhang 0016, Xiangyang Xue 0001, Yichen Wei   +4 more
openaire   +3 more sources

OUHANDS database for hand detection and pose recognition [PDF]

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2016
In this paper we propose a publicly available static hand pose database called OUHANDS and protocols for training and evaluating hand pose classification and hand detection methods. A comparison between the OUHANDS database and existing databases is given. Baseline results for both of the protocols are presented.
Silvén Olli Johannes, Sangi Pekka Juhani, Holappa Jukka Pekka, Matilainen Matti Tapani   +3 more
openaire   +2 more sources

Enhancing Recognition of Human–Object Interaction from Visual Data Using Egocentric Wearable Camera

Future Internet
Object detection and human action recognition have great significance in many real-world applications. Understanding how a human being interacts with different objects, i.e., human–object interaction, is also crucial in this regard since it enables ...
Danish Hamid, Muhammad Ehatisham Ul Haq, Amanullah Yasin, Fiza Murtaza, Muhammad Awais Azam   +4 more
doaj   +1 more source

Light and Fast Hand Pose Estimation From Spatial-Decomposed Latent Heatmap

IEEE Access, 2020
We present a light and efficient approach named Latent Fusion network for fast and accurate hand pose estimation from a single depth image. Our method innovatively decomposes 3D joint regression into 2D plane localization and 1D axis estimation from ...
Shaowei Liu, Guijin Wang, Pengwei Xie, Cairong Zhang   +3 more
doaj   +1 more source

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source

The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation

CoRR, 2017
We present the 2017 Hands in the Million Challenge, a public competition designed for the evaluation of the task of 3D hand pose estimation. The goal of this challenge is to assess how far is the state of the art in terms of solving the problem of 3D hand pose estimation as well as detect major failure and strength modes of both systems and evaluation ...
Shanxin Yuan, Qi Ye 0001, Guillermo Garcia-Hernando, Tae-Kyun Kim 0001   +3 more
openaire   +2 more sources