Development of Multimodal Assessment of Parkinson's Disease
This research develops a multilingual tablet-based AI tool for Parkinson’s assessment in Sri Lanka, combining touchscreen motor tasks, cognitive dual-tasks, Sinhala/English speech analysis, and IMU data to extract digital biomarkers for early detection, telemonitoring, and personalized care.
Model Architecture
User Interface
Data Collection Pipeline
Research Students
Dinush Perera
Ranuga Edirisinghe
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