Results 101 to 110 of about 326,274 (317)
EEG-RegNet: Regressive Emotion Recognition in Continuous VAD Space Using EEG Signals
MathematicsElectroencephalogram (EEG)-based emotion recognition has garnered significant attention in brain–computer interface research and healthcare applications. While deep learning models have been extensively studied, most are designed for classification tasks
Hyo Jin Jon +4 more
doaj +1 more source
Mining Automatically Estimated Poses from Video Recordings of Top Athletes
International Journal of Computer Science in Sport, 2018 Human pose detection systems based on state-of-the-art DNNs are about to be extended, adapted and re-trained to fit the application domain of specific sports.
Lienhart R., Einfalt M., Zecha D.
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni +7 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey +8 more
wiley +1 more source
Computer Vision and Human-Computer Interaction: artificial vision techniques and use cases with creating interfaces and interaction models [PDF]
, 2022 Here is described how Computer Vision could give improvements to Human-Computer Interaction. Starting from a brief description of computers and human beings, follows a description of computer interfaces and Computer Vision.
Comite, Marco
core
Dynamic Thermography-Based Early Breast Cancer Detection Using Multivariate Time Series
SensorsA computational approach for early breast cancer detection using Dynamic Infrared Thermography (DIT) was developed. Thermograms are represented by multivariate time series extracted from thermal hotspots in the breast, capturing five features: maximum ...
María-Angélica Espejel-Rivera +3 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
A Computer Vision Based Tracking System for Indoor Team Sports [PDF]
, 2009 Monier E, Wilhelm P, Rückert U. A Computer Vision Based Tracking System for Indoor Team Sports. In: The fourth International Conference on Intelligent Computing and Information Systems. Cairo, Egypt; 2009.This paper presents a video tracking system for
Monier, Emad +2 more
core +1 more source
Active AU Based Patch Weighting for Facial Expression Recognition
Sensors, 2017 Facial expression has many applications in human-computer interaction. Although feature extraction and selection have been well studied, the specificity of each expression variation is not fully explored in state-of-the-art works.
Weicheng Xie +3 more
doaj +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source