Fig. 1
From: Efficiency of deep neural networks for joint angle modeling in digital gait assessment
Wearable system concept: the gait kinematic data x(n) are collected and processed with machine learning methods in the Android application for digital and biomedical healthcare systems. On the left side, the traditional sensor fusion algorithm based on KF estimates the lower limb joint signals using the information from four IMUs. On the right side, the novel machine learning approach estimates the lower limb joint angles based on the information of only one IMU placed on the foot. The dashed line represents the reference data y(n) for the training and test phases of the different machine learning (ML) approaches