![[Research Paper] Understanding Cognitive States from Head & Hand Motion Data](/Kaiang_personal_website/research_project/hesitation_motion/featured_hu4661354481176655900.webp)
[Research Paper] Understanding Cognitive States from Head & Hand Motion Data
This study investigates the potential of machine learning models to predict and interpret nuanced cognitive states such as confusion, hesitation, and readiness in virtual reality (VR) through motion data analysis. By leveraging continuous cognitive annotations, comparing ML performance with human baseline, 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](/Kaiang_personal_website/research_project/motiontracker/featured_hu8423713414232590534.webp)
[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