The project aims to create a digital twin that models the cognitive state of older adults to improve their well-being through applications for early detection, monitoring, and personalized assistance against cognitive decline.
So, its main objectives can be summarized as follows:

• Data collection: Develop a multimodal system to gather health, cognitive, and behavioural data using Ambient Assisted Living (AAL) technologies, interviews, and mixed reality exercises.
• Data integration and analysis: Build an intelligent system that combines and analyzes multimodal data with deep learning to form a robust dataset for model training.
• Virtual modeling: Create virtual representations of individuals’ cognitive and behavioural states to simulate their evolution over time.
• Early detection: Develop systems to identify early signs of cognitive decline using these virtual models.
• Personalized assistance: Design adaptive support systems to slow cognitive deterioration in at-risk individuals.
• Clinical validation: Evaluate how these interventions affect cognitive health and daily functioning.