Gla-gcn: Global-local adaptive graph convolutional network for 3d human pose estimation from monocular video

BXB Yu, Z Zhang, Y Liu, S Zhong… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract 3D human pose estimation has been researched for decades with promising fruits.
3D human pose lifting is one of the promising research directions toward the task where …

Wearable IMU-based human activity recognition algorithm for clinical balance assessment using 1D-CNN and GRU ensemble model

YW Kim, KL Joa, HY Jeong, S Lee - Sensors, 2021 - mdpi.com
In this study, a wearable inertial measurement unit system was introduced to assess patients
via the Berg balance scale (BBS), a clinical test for balance assessment. For this purpose …

EGCN++: A New Fusion Strategy for Ensemble Learning in Skeleton-Based Rehabilitation Exercise Assessment

XB Bruce, Y Liu, KCC Chan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Skeleton-based exercise assessment focuses on evaluating the correctness or quality of an
exercise performed by a subject. Skeleton data provide two groups of features (ie, position …

PVA-GCN: point-voxel absorbing graph convolutional network for 3D human pose estimation from monocular video

M Liu, W Wang, W Zhao - Signal, Image and Video Processing, 2024 - Springer
The evolution of 3D human pose estimation techniques has seen substantial progress over
the past few decades, with notable advancements in accuracy and applications. While …

Clasificación de operaciones de embalaje por parte de operarios para el OpenPack Challenge 2022

EM Pérez Roa - 2023 - e-spacio.uned.es
Resumen El Reconocimiento de la Actividad Humana (HAR, por sus siglas en inglés) es
una disciplina dentro del aprendizaje automático que busca reconocer y clasificar …