Intelligent Adaptive Interface for Spatial Cognition Assessment
Developed ToSeeMind, a modular Python cognitive assessment platform for precise stimulus delivery. The system provides a unified launcher for administering standardized spatial and cognitive tasks, within a Persian-language research workflow covering participant intake, task execution, and structured reporting. Implemented real-time behavioral logging with trial-level output, frame-timing quality control, and optional GazeFollower eye-tracking synchronized to task events; added multi-format data export and AI-assisted session summaries.
Hi, I’m Mobina, an M.Sc. mechatronics researcher passionate about non-invasive assessment of human cognitive performance. My work sits at the intersection of computer vision, biosignal analysis, and machine learning, developing multimodal frameworks that combine vision-based pose estimation, IMU motion capture, and eye tracking for interpretable behavioral analysis. I enjoy designing algorithms and experimental systems that connect mechatronic instrumentation with real-world cognitive assessment.
Please reach out if you’re interested in collaborating on Human-Computer Interaction, biosignal analysis, or AI-driven behavioral assessment!😜