Research Projects

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Jun 1, 2030

[Research Project] Understanding Cognitive States From Motion

This study investigates the potential of machine learning models to predict and interpret nuanced cognitive states such as hesitation, uncertainty, and readiness in virtual reality (VR) through motion data analysis. By leveraging continuous hesitation annotations, comparing ML performance with human judgment, and employing model visualization techniques, this research aims to uncover fundamental motion patterns underlying cognitive states, paving the way for more adaptive and intelligent VR systems.

Jan 15, 2025

[GitHub Project] VR Motion Tracker

A VR-based motion tracking system for human motion data collection. The application is built using Unity3D and the UXF framework and has been tested on the Meta Quest 3 headset.

Dec 4, 2024

[Research Paper] MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registration

Kaiang Wen, Bin Xie, Bin Duan, Yan Yan. arXiv preprint arXiv:2411.01399.

Nov 3, 2024

[Research Paper] Knowledge-Guided Gated Multitasking Network for Cervical Spine Degeneration Evaluation

Conducted research on cervical spondylosis measurement using a U-Net-based model for segmentation and MMPose for pose estimation, achieving a 75% reduction in Cobb metric error.

Jan 30, 2023