Embedded artificial intelligence system for predicting neurodegenerative diseases such as Alzheimer's, via recognition of human activities.

Abstract

The proposed invention relates to a behavioral anomaly detection system that uses a camera combined with artificial intelligence algorithms to monitor and analyze behavior. This system is designed to identify early signs of neurodegenerative disorders, such as dementia, and to provide real-time alerts, thus facilitating rapid intervention. Thanks to an advanced data collection infrastructure and a sophisticated computer vision model, the system optimizes the management of neurodegenerative diseases, improves treatment acceptance and helps to offer a better quality of life to patients and their families.