Secure Detection of Wandering Behavior: Indoor Monitoring Enhanced by Deep Learning

The SDWB (Secure Detection of Wandering Behavior) project focuses on developing a novel AI-driven framework for monitoring and detecting wandering behavior indicators in elderly individuals, especially those with dementia, using radar-based sensors. The project emphasizes minimally intrusive, privacy-preserving indoor movement monitoring to identify early signs of cognitive decline. It involves interdisciplinary collaboration to address challenges like data scarcity, generalizability, and cybersecurity, ultimately enhancing the well-being of seniors and supporting caregivers.

Key components include:

• Sensor Technology: Use of radar-based sensors for unobtrusive monitoring.
• AI & Data Augmentation: Leveraging deep learning and synthetic data for improved detection accuracy.
• Cybersecurity: Implementation of robust measures using the Crystal Framework.
• Collaborations: Industry and academic partnerships, including Ubilab and Gold Sentinel Inc.

This innovative approach improves the well-being and safety of seniors while offering crucial support for caregivers.