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

• Main Author: Huang, Shunyu
• Other Authors: Xie Lihua
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Skeleton-based action recognition; GCN; Wireless human sensing; Transfer learning
• Online Access: https://hdl.handle.net/10356/174832
• Institution: Nanyang Technological University

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...