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Alzheimer Patient Tracker using Android Development
Author Name : Mrs. J. H. Yadav , S. P. Jagtap , N. I. Mandge , L. S. Solanki , P. S. Sutar
ABSTRACT Dementia is a condition often linked with cognitive decline and is more prevalent in older individuals. Because of its progressive nature, it can lead to various changes in sensory perceptions for those affected. Consequently, consistently tracking the assistance requirements of patients and monitoring the noise levels in their surroundings can be a significant challenge for caregivers, particularly healthcare professionals in nursing facilities. In this study, we introduce an application with a user-friendly interface designed for the non-invasive acoustic monitoring of patients while respecting their privacy. This is accomplished by employing neural network-based models for sound scene classification and source location estimation. These models are trained to achieve impressive results of 98.80% accuracy. The application also compares the time-averaged sound levels to recommended standards based on the specific location and time of the day.