Research Article
Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition
Algorithm 1
Training process of the Gaussian fusion layer based on EM-Algorithm.
| | Initialize and set estimation parameter | | For T iterations do | | Procedure M-step: | | Calculate the expectations of (7): | | | | | Calculate partial derivatives of : | | | | | Return, | | Procedure E-step: | | Calculate i-th submodel responsivity: | | | | | Return | | Update the estimation parameter: | | | | | End For till the parameter threshold: | | or | | End Procedure M-step and E-step | | Returnand the fusion score S |
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