Evaluation of Novel In-Shoe Strain Gauge Device for Gait Analysis via Data Processing Techniques

Gait analysis is the assessment of walking patterns through the coordination and balance of muscles in the body. It is essential in the diagnosis of neurological disorders and monitoring of patient progress for rehabilitation. Conventional gait analysis is heavily reliant on force plates to measure the Ground Reaction Forces (GRF) that a person exerts. However, these systems are constrained by high costs, constant maintenance, and repeated foot strikes to ensure accurate data. This study establishes an alternative novel in-shoe device that utilizes strain gauges to measure the GRF of a person. It addresses the key limitations of force plates while maintaining the accuracy and precision of the measurements. The device integrates four 3D-printed strain gauge mounts, positioned within the sole of the shoe. This replicates the functionality of force plates by capturing real-time GRF data while walking. Adjustments to the strain gauge positioning allowed for optimized force distribution. The device demonstrates an accuracy of approximately 95%, which has been supported by quantitative metrics like high correlation coefficient and low error rates. Beyond its empirical accuracy, the participant’s comfort while using the shoe was a critical consideration while designing the device. The device’s portability, affordability, and non-invasive design make it an ideal alternative to traditional force plates, particularly for use in clinical studies, rehabilitation, and remote diagnosis of disorders.