Construction motion data library: an integrated motion dataset for on-site activity recognition.

ABSTRACT: Identifying workers' activities is crucial for ensuring the safety and productivity of the human workforce on construction sites. Many studies implement vision-based or inertial-based sensors to construct 3D human skeletons for automated postures and activity recognition. Researchers have developed enormous and heterogeneous datasets for generic motion and artificially intelligent models based on these datasets. However, the construction-related motion dataset and labels should be specifically designed, as construction workers are often exposed to awkward postures and intensive physical tasks. This study developed a small construction-related activity dataset with an in-lab experiment and implemented the datasets to manually label a large-scale construction motion data library (CML) for ac

SUBMITTER: Tian Y 

PROVIDER: S-EPMC9701235 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature