EDBT 2026 Demo / reviewers in the wild / expert
Yunzhe Shao
dblp:410/5848
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Wearable and physiological sensing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wearable and physiological sensing › motion capture
inertial motion capture |
0.9 | 1 | 2025 | MagShield: Towards Better Robustness in Sparse Inertial Motion Capture Under Magnetic Disturbances · ICCV 2025 |
Wearable and physiological sensing › inertial sensing
inertial measurement unit |
0.3 | 1 | 2025 | MagShield: Towards Better Robustness in Sparse Inertial Motion Capture Under Magnetic Disturbances · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
human motion prior · 0.9detect-then-correct strategy · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | MagShield: Towards Better Robustness in Sparse Inertial Motion Capture Under Magnetic DisturbancesabstractThis paper proposes a novel method called MagShield, designed to address the issue of magnetic interference in sparse inertial motion capture (MoCap) systems. Existing Inertial Measurement Unit (IMU) systems are prone to orientation estimation errors in magnetically disturbed environments, limiting their practical application in real-world scenarios. To address this problem, MagShield employs a "detect-then-correct" strategy, first detecting magnetic disturbances through multi-IMU joint analysis, and then correcting orientation errors using human motion priors. MagShield can be integrated with most existing sparse inertial MoCap systems, improving their performance in magnetically disturbed environments. Experimental results demonstrate that MagShield significantly enhances the accuracy of motion capture under magnetic interference and exhibits good compatibility across different sparse inertial MoCap systems. Yunzhe Shao, Xinyu Yi, Shihui Guo, Jun-Hai Yong, Feng Xu 0005 |
ICCV | 1 |