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Found 8 papers, 2 papers with code
Comparison of Visual Trackers for Biomechanical Analysis of Running
The experimental findings suggest that human pose tracking approaches can be valuable resources for the biomechanical analysis of running.
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
In order to promote the proposal of novel Generative AI methods and synthetic data, and investigate the application of synthetic data to better train face recognition systems, we introduce the 2nd FRCSyn-onGoing challenge, based on the 2nd Face Recognition Challenge in the Era of Synthetic Data (FRCSyn), originally launched at CVPR 2024.
VideoRun2D: Cost-Effective Markerless Motion Capture for Sprint Biomechanics
This investigation first adapts two of these general trackers (MoveNet and CoTracker) for realistic biomechanical analysis and then evaluate them in comparison to manual tracking (with key points manually marked using the software Kinovea).
DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation with Application to e-Learning
Our method is particularly useful, among others, in e-learning applications, so we trained, evaluated, and compared our approach on the mEBAL2 database, a public multi-modal database acquired in an e-learning environment.
PAD-Phys: Exploiting Physiology for Presentation Attack Detection in Face Biometrics
Presentation Attack Detection (PAD) is a crucial stage in facial recognition systems to avoid leakage of personal information or spoofing of identity to entities.
MATT: Multimodal Attention Level Estimation for e-learning Platforms
This work presents a new multimodal system for remote attention level estimation based on multimodal face analysis.
edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms
We present edBB-Demo, a demonstrator of an AI-powered research platform for student monitoring in remote education.
FaceQvec: Vector Quality Assessment for Face Biometrics based on ISO Compliance
In this paper we develop FaceQvec, a software component for estimating the conformity of facial images with each of the points contemplated in the ISO/IEC 19794-5, a quality standard that defines general quality guidelines for face images that would make them acceptable or unacceptable for use in official documents such as passports or ID cards.
