SkeFi: cross-modal knowledge transfer for wireless skeleton-based action recognition

• المؤلف الرئيسي: Huang, Shunyu
• مؤلفون آخرون: Xie Lihua
• التنسيق: Thesis-Master by Coursework
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Engineering; Skeleton-based action recognition; GCN; Wireless human sensing; Transfer learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/174832

Skeleton-based action recognition can effectively solve the problem of reduced classification accuracy caused by background clutter. However, prevalent skeleton datasets predominantly rely on cameras to capture RGB frames and annotate skeletal keypoints, leading to susceptibility to ambient lighting...