Falls remain a serious challenge for older adults, often leading to injury, loss of independence, and increased healthcare costs. This whitepaper explains how StepSense brings together the Timed Up and Go test, gait analysis, and AI-driven reporting to support more objective fall risk screening.
The paper outlines key fall risk indicators such as gait speed, step length, cadence, step width variability, fear of falling, and fall history. It also highlights StepSense’s technology, supporting evidence, limitations, and future development roadmap.