Results 61 to 70 of about 2,738,599 (315)

Human action recognition

, 2021
Aquest projecte se centra en el procés de reconeixement i classificació de les accions que realitza una persona en un moment concret, també conegut com Human Activity Recognition. Per a realitzar el reconeixement d'activitat i pose s'ha fet ús d'un algorisme de pose estimation, el qual proporciona l'esquelet de la persona i és d'ajuda per a classificar
Picazos Carrillo, Jose Antonio, Universitat Autònoma de Barcelona. Escola d'Enginyeria   +1 more
openaire   +1 more source

Refined Spatial Network for Human Action Recognition

IEEE Access, 2019
Effective video representation is a key ingredient in action recognition, but how to learn effective spatial features remains a fundamental and challenging task.
Chunlei Wu, Haiwen Cao, Weishan Zhang, Leiquan Wang, Yiwei Wei, Zexin Peng   +5 more
doaj   +1 more source

Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching [PDF]

AAAI Conference on Artificial Intelligence, 2019
Human action recognition from skeleton data, fuelled by the Graph Convolutional Network (GCN) with its powerful capability of modeling non-Euclidean data, has attracted lots of attention.
Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao   +3 more
semanticscholar   +1 more source

Human Action Recognition Based on Transfer Learning Approach

IEEE Access, 2021
Human action recognition techniques have gained significant attention among next-generation technologies due to their specific features and high capability to inspect video sequences to understand human actions.
Yousry Abdulazeem, Hossam Magdy Balaha, Waleed M. Bahgat, Mahmoud Badawy   +3 more
doaj   +1 more source

Human Action Recognition Systems: A Review of the Trends and State-of-the-Art

IEEE Access
Human action recognition (HAR), deeply rooted in computer vision, video surveillance, automated observation, and human-computer interaction (HCI), enables precise identification of human actions.
Misha Karim, Shah Khalid, Aliya Aleryani, Jawad Khan, Irfan Ullah, Z. Ali   +5 more
semanticscholar   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

Interpretable 3D Human Action Analysis with Temporal Convolutional Networks

, 2017
The discriminative power of modern deep learning models for 3D human action recognition is growing ever so potent. In conjunction with the recent resurgence of 3D human action representation with 3D skeletons, the quality and the pace of recent progress ...
Kim, Tae Soo, Reiter, Austin
core   +1 more source

A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision

Technologies
Machine vision, an interdisciplinary field that aims to replicate human visual perception in computers, has experienced rapid progress and significant contributions.
Nikoleta Manakitsa, George S. Maraslidis, L. Moysis, G. Fragulis   +3 more
semanticscholar   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 more
wiley   +1 more source

Multiple subsequence combination in human action recognition

IET Computer Vision, 2014
Human action recognition is an active research area with applications in several domains such as visual surveillance, video retrieval and human–computer interaction.
Leonardo Onofri, Paolo Soda, Giulio Iannello   +2 more
doaj   +1 more source