Gait and Mobility

The utility of wearable sensors for continuous gait monitoring has grown substantially, enabling novel applications on mobility assessment in healthcare. Existing approaches for gait cycle detection rely on predefined or experimentally tuned platform parameters and are often platform-specific, parameter-sensitive, and unreliable in noisy environments with constrained generalizability. To address these challenges, we develop algorithms and tools for reliable, platform-independent, and reconfigurable gait cycle detection and step counting. We also study the utility of gait monitoring is various populations.