Two-Dimensional Geometry Representation Learning-Based Construction Workers Activities Detection with Flexible IMU Solution
Recognizing construction workers’ activities is essential for effective construction management. The complexity of construction sites and the varied, dynamic nature of workers’ actions make automatic monitoring of their behaviors challenging. This study introduces a flexible IMU solution to detect c...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/15/13/2372 |
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| Summary: | Recognizing construction workers’ activities is essential for effective construction management. The complexity of construction sites and the varied, dynamic nature of workers’ actions make automatic monitoring of their behaviors challenging. This study introduces a flexible IMU solution to detect construction worker activities, aiming to bypass the need for IMU devices to be rigidly attached to workers. The approach employs a 2D geometric representation algorithm that extracts features at the application level, independent of the IMU axes. Evaluations using the VTT-ConIoT public dataset for construction worker activities demonstrated that the proposed method performed effectively without fixed IMU attachments, enhancing practicality in real-world contexts. |
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| ISSN: | 2075-5309 |