Computer Vision Research Assistant
Current- Developed a novel multimodal machine learning model to monitor real-time mental fatigue in older adults with mild cognitive impairment during computerized cognitive training (CCT), enhancing the scalability of CCT interventions by creating a framework for continuous, automated fatigue monitoring to improve participant engagement and effectiveness- Leveraged video-based facial gesture analysis and ECG-based signal analysis to detect mental fatigue- Authored comprehensive project documentation using Sphinx to standardize and streamline onboarding of new team members, ensuring clear, reproducible processes and accelerating project ramp-up for future researchers