Deep Domain Adaptation, Pseudo-Labeling, and Shallow Network for Accurate and Fast Gait Prediction of Unlabeled Datasets

• Egile Nagusiak: Jaeyoung Na (Egilea), Hyunwoo Kim (Egilea), Giuk Lee (Egilea), Woochul Nam (Egilea)
• Formatua: Liburua
• Argitaratua: IEEE, 2023-01-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Developing personalized gait phase prediction models is difficult because acquiring accurate gait phases requires expensive experiments. This problem can be addressed via semi-supervised domain adaptation (DA), which minimizes the discrepancy between the source and target subject features. However,...