Impact of Shoe Parameters on Gait Using Wearables
Nadeera Meghapathirana, Oshada Rathnayake, Thisali S Rathnayake,, Roshan Godaliyadda, Parakrama Ekanayake, Vijitha Herath

TL;DR
This paper investigates how different shoe parameters affect walking biomechanics using wearable IMU sensors and advanced data processing to analyze gait patterns, aiming to improve footwear design and mobility solutions.
Contribution
It introduces a methodology combining wearable sensors and Kalman filtering to assess shoe impact on gait, offering new insights into footwear biomechanics.
Findings
Correlations between shoe parameters and gait stability
Impact of footwear on step time and propulsion
Enhanced understanding of footwear influence on walking efficiency
Abstract
The study of biomechanics during locomotion provides valuable insights into the effects of varying conditions on specific movement patterns. This research focuses on examining the influence of different shoe parameters on walking biomechanics, aiming to understand their impact on gait patterns. To achieve this, various methodologies are explored to estimate human body biomechanics, including computer vision techniques and wearable devices equipped with advanced sensors. Given privacy considerations and the need for robust, accurate measurements, this study employs wearable devices with Inertial Measurement Unit (IMU) sensors. These devices offer a non-invasive, precise, and high-resolution approach to capturing biomechanical data during locomotion. Raw sensor data collected from wearable devices is processed using an Extended Kalman Filter to reduce noise and extract meaningful…
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Taxonomy
TopicsLower Extremity Biomechanics and Pathologies
