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

• 主要な著者: Shibin Wu (著者), Lin Shu (著者), Zhen Song (著者), Xiangmin Xu (著者)
• フォーマット: 図書
• 出版事項: IEEE, 2023-01-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: 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...