This research investigates a multimodal navigation system that combines real-time physiological monitoring (heart rate, gait, stress indicators) with spatially-aware AR overlays and live urban data feeds, including pedestrian crossing signals, crowding levels, and surface conditions, to generate personalised, adaptive routes suited to each individual's current physical state and preferences. The goal is to extend independent mobility and reduce anxiety for older adults in complex city environments. 

COMING SOON!