Learning with few labels for skeleton-based action recognition

• Main Author: Yang, Siyuan
• Other Authors: Alex Chichung Kot
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Engineering
• Online Access: https://hdl.handle.net/10356/173603
• Institution: Nanyang Technological University

Human Action Recognition, which involves discerning human actions, is vital for many real-world applications. Skeleton sequences, tracing human body joint trajectories, capture essential human motions, making them appropriate for action recognition. Compared to RGB videos or depth data, 3D skeleton...