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Gla-gcn: Global-local adaptive graph convolutional network for 3d human pose estimation from monocular video
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 …
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 …
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
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 …
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 …
the past few decades, with notable advancements in accuracy and applications. While …
[CYTOWANIE][C] Clasificación de operaciones de embalaje por parte de operarios para el OpenPack Challenge 2022
EM Pérez Roa - 2023 - Universidad Nacional de Educación …