Augmentation of Accelerometer and Gyroscope Signals in Biometric Gait Systems

This paper presents IMU augmentation method based on perturbing sensor orientation and modeling accelerometer and gyroscope readings. The algorithm aims to improve the generalization properties of CNNs and ultimately increase the performance of biometric gait systems. The novelty of the presented approach is the combination of classical mechanisms of acceleration signal augmentation combined with the analytical generation of angular velocity measurements. This paper presents a comparison of proposed and selected literature techniques for a publicly available gait corpus collected on an uneven surface. The use of the developed algorithm allowed to improve the identification metrics for samples collected for irregular surfaces such as grass and cobblestone.