建 川本

Recognition-Guided Generative Skeleton Imputation for Robust Action Recognition Under Severe Occlusion in Construction Scenarios

Skeleton-based human action recognition can support digital construction and renovation monitoring by converting worker motions into structured information for safety and process management. However, workers are often occluded by tools, materials, furniture, and temporary structu...