Codes for conference paper titled "Parallel Graph Neural Networks: Class-imbalanced Gait Phase Recognition via Adaptive Fusion of Multimodal sEMG and Kinematic Data" (IEEE M2VIP, 2024, Accepted).

Install:

Use "Install.ipynb" to create the environment and dependencies, or install the required dependencies using "pip install requirements.txt".

Usage:

1. See "gait_classification_processing.ipynb" file to process and convert the SIAT-LLMD dataset into training and test sample sets in .npz format.
2. See "model_test.py" file for estimating model complexity and visualizing models.
3. See "IntraTrainTest_CNNs.ipynb", "IntraTrainTest_GNNs.ipynb" and "IntraTrainTest_MLs.ipynb" files to conduct model training and testing.