Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition

<div>Acceleration and angular velocity data collected under three body parts covering foot (left), calf (center), and thigh (right). In the figures, Ax, Ay, Az, Wx, Wy, and Wz represent the curves of acceleration and angular velocity in the X, Y, and Z directions over time during the acquisition process, respectively.</div>

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Figure 3: Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition 