Author Archives: Đỗ Nguyễn Anh Đức

A Deep Learning Framework for Exercise-Based Rehabilitation Assessment via Markerless Motion Analysis using OpenCap

1. Introduction In clinical practice, joint Range of Motion (ROM) and the quality of rehabilitation movements are traditionally assessed using manual goniometers or the visual estimation of clinicians. This approach is not only time-consuming and subjective, but it also lacks the quantitative framework necessary for tracking longitudinal recovery progress across multiple sessions. While marker-based motion […]

DO NGUYEN ANH DUC

Do Nguyen Anh Duc Undergraduate Researcher Hanoi University of Science and TechnologyiBME Lab — Room 814, C7 Building +84 966 112 186 doduc.dnad@outlook.com Selected Research 2024 — OpenCap Platform A Deep Learning Framework for Exercise-Based Rehabilitation Assessment Markerless motion analysis and clinical metric estimation leveraging Transformer architectures for joint range-of-motion evaluation. Explore project → 2025 […]