Evaluation of Functional Mobility of Elders Using Vision Attentive Model for Parkinson’s Disease

One of the disorders that affects the central nervous system the most severely is Parkinson's disease (PD). In 2019, the World Health Organization (WHO) reported that PD claimed the lives of 0.33 million people, an increase of almost 100% since 2000. The disease also caused 5.8 million disability-adjusted life years, an 81% increase since 2000. This emphasizes how dangerous PD may be in home settings, especially for the elderly. Currently, clinical approaches continue to be the mainstay of PD screening. Still, there's hope, thanks to developments in wearable sensor-based identification techniques. Nevertheless, methods such as the vision attentive paradigm are required to guarantee usability because older adults find them uncomfortable. Current systems frequently depend on isolated evaluations, which the WHO considers inadequate for thoroughly assessing PD through functional mobilities. This research aims to evaluate older persons with PD to close this gap. Timed Up and Go (TUG) time, gait speed, and fall score are the three main components integrated with the proposed system. The TUG test, gait speed, and fall ratio were validated using the vision attentive model and the traditional clinical method. Ethical norms were followed when testing in homes, hospitals, and elder care institutions. The suggested method's results show great potential, with an impressive 90.02% (precision 0.89) accuracy rate in identifying PD patients.