Results 81 to 90 of about 5,171 (172)

SG‐TE: Spatial Guidance and Temporal Enhancement Network for Facial‐Bodily Emotion Recognition

open access: yesCAAI Transactions on Intelligence Technology, Volume 10, Issue 3, Page 871-890, June 2025.
ABSTRACT To overcome the deficiencies of single‐modal emotion recognition based on facial expression or bodily posture in natural scenes, a spatial guidance and temporal enhancement (SG‐TE) network is proposed for facial‐bodily emotion recognition. First, ResNet50, DNN and spatial ransformer models are used to capture facial texture vectors, bodily ...
Zhong Huang   +5 more
wiley   +1 more source

Player‐Centric Shot Maps in Table Tennis

open access: yesComputer Graphics Forum, Volume 44, Issue 3, June 2025.
Abstract Shot maps are popular in many sports as they typically plot events and player positions in the way they are collected, using a pitch or a table as an absolute coordinate system. We introduce a variation of a table tennis shot map that shifts the point of view from the table to the player. This results in a new reference system to plot incoming
A. Erades, R. Vuillemot
wiley   +1 more source

Towards automatic sign language corpus annotation using deep learning

open access: yes, 2019
Sign classification in sign language corpora is a challenging problem that requires large datasets. Unfortunately, only a small portion of those corpora is labeled.
Dambre, Joni   +2 more
core  

Dravet syndrome: From neurodevelopmental to neurodegenerative disease?

open access: yesEpilepsia, Volume 66, Issue 6, Page 1975-1987, June 2025.
Abstract Objective Dravet syndrome (DS) is a severe developmental and epileptic encephalopathy caused by SCN1A haploinsufficiency in the majority of cases. Caregivers of adults with DS often complain about the loss of previously acquired skills. We set out to explore these perceptions and determine whether abnormalities reported were detectable in ...
Arunan Selvarajah   +39 more
wiley   +1 more source

Indoors Fitness Training Monitoring based on OpenPose

open access: yesJOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH
With the continuation of the COVID-19 pandemic, people's daily life has changed. The changing life habits are reflected in the increasing number of hours working at home. Mostly affected is physical fitness, because of limitations or fear of the gym/outdoors or effective exercise indoors.
null J.Haoran   +2 more
openaire   +1 more source

Marker-Less Monitoring Protocol to Analyze Biomechanical Joint Metrics During Pedaling

open access: yesIEEE Access, 2020
Marker-less systems are becoming popular to detect a human skeleton in an image automatically. However, these systems have difficulties in tracking points when part of the body is hidden, or there is an artifact that does not belong to the subject (e.g.,
Gil Serrancoli   +7 more
doaj   +1 more source

Bangla Sign Language Recognition With Multimodal Deep Learning Fusion

open access: yesEngineering Reports, Volume 7, Issue 4, April 2025.
Working steps of the proposed multimodal Bangla sign language detection system. ABSTRACT Sign languages are conveyed through hand gestures and body language; different cultures and languages have unique sign language representations. It is difficult for the general population to interpret all these variations.
Adib Hasan   +4 more
wiley   +1 more source

OpenBeePose: A Remote Sensing Framework for Bee Pose Estimation Using Deep Learning

open access: yesApplied Sciences
The application of remote sensing technology for pose estimation in beekeeping has the potential to transform colony management, improve bee health and mitigate the decline in bee populations.
Sajad Sabzi   +5 more
doaj   +1 more source

Real-time pose estimation and motion tracking for motion performance using deep learning models

open access: yesJournal of Intelligent Systems
With the refinement and scientificization of sports training, the demand for sports performance analysis in the field of sports has gradually become prominent.
Liu Long, Dai Yuxin, Liu Zhihao
doaj   +1 more source

Enhanced Human Fall Detection via Lightweight MDS-OpenPose Framework

open access: yesThe Journal of Supercomputing
Abstract Falls among the elderly pose a significant risk of injury and even mortality, underscoring the importance of real-time monitoring systems to mitigate these hazards. Existing posture estimation-based fall detection methods often struggle with high parameter counts, computational complexity, and slow processing speeds.
Di Wang, Gangyang Nan, Fang Xia
openaire   +1 more source

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