Abstract
This work presents a novel method for the estimation of stride length (SL) from inertial sensor-based wireless foot sensor module (WFSM). SL variability is a widely used and clinically relevant spatial gait parameter. This work proposes and validates a novel method for computing SL by measuring the foot inclination angle and single-axis acceleration measured from WFSM. The foot inclination angle is used for detecting gait events as well as for gravity compensation to estimate the real acceleration of the foot. This approach thus requires minimum input information, i.e. foot angle trajectory and acceleration in only sagittal plane. The results are validated on a cohort of healthy subjects against a standard gait analysis platform. A set of trial data on 10 healthy volunteers were also analysed for outdoor walking to evaluate the performance against previously reported works. The proposed approach has the potential for applications involving real-time gait measurements.
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