This research examines whether changes in walking patterns can predict frailty before serious health events occur. Using smart insoles, GPS tracking, and machine learning, mobility data from older adults is analyzed to identify early warning signs of decline. The goal is to enable proactive interventions and support healthier aging.

This research investigates whether ballet training can reduce fall risk in older adults. Comparing dancers to non-dancers during unexpected slips, ballet-trained participants showed better stability, faster muscle responses, and fewer falls. The project aims to develop a validated ballet-based fall-prevention syllabus that could significantly improve independence and reduce healthcare costs.