SFDA: Domain Adaptation With Source Subject Fusion Based on Multi-Source and Single-Target Fall Risk Assessment

• Päätekijät: Shibin Wu (Tekijä), Lin Shu (Tekijä), Zhen Song (Tekijä), Xiangmin Xu (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: IEEE, 2023-01-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

In cross-subject fall risk classification based on plantar pressure, a challenge is that data from different subjects have significant individual information. Thus, the models with insufficient generalization ability can’t perform well on new subjects, which limits their application in da...