SafeStrides App Detects Seniors’ Fall Risk Before It Happens

SafeStrides, the brainchild of high‑schoolers Ruoqi Li and Jason Yang, harnesses a smartphone camera and a pair of lightweight wearables to map a senior’s walking pattern in real time. Researchers say one in four older adults falls each year, often with serious injury.

The wearable unit houses inertial measurement units that track motion and pressure insoles that record weight distribution. The data streams into a Flutter‑based app, where a multimodal AI model cross‑checks the video and sensor clues against a database of safe gait signatures.

If the AI flags a deviation, the app instantly issues a risk score and practical tips—like recommending a balance exercise or adjusting home lighting—to curb the imminent danger.

Dr. Maya Patel, a geriatrician at Stanford, said, ‘What’s remarkable is that patients can screen themselves at home, turning a one‑off clinic visit into a continuous safety net.’

Before you start using any fall‑risk app, talk with your primary care provider. Still, SafeStrides could help seniors stay independent longer and lower hospitalization rates.