SIGNATURE WORK
CONFERENCE & EXHIBITION 2023

Parkinson’s Disease (PD) is a progressive nervous system disorder that has affected more than 5.8 million people, especially the elderly. Due to the complexity of its symptoms and its similarity to other neurological disorders, early detection requires neurologists or PD specialists to be involved, which is not accessible to most old people. Therefore, we integrate smart mobile devices with AI technologies. In this paper, we introduce the framework of our developed PD early detection system (Shoupa) which combines different tasks evaluating both motor and non-motor symptoms. The system is implemented as a mobile application and is now working properly for data collection. A naive classification model is proposed to distinguish between users with and without Parkinson’s disease and achieved a classification accuracy of 85.7\%.