VTT-ConIoT: Activity Recognition of Construction Workers with IMUs
Makela S.-M., Lamsa A., Keranen J.S., Liikka J., Ronkainen J., Peltola J., Haikio J., Bordallo Lopez M.
VTT Technical Research Centre of Finland / University of Oulu · 2021 · Finland
Realistic human activity recognition dataset for professional construction work: 13 subjects performing 16 recommended or non-recommended work activities with 10-DOF IMUs at three body positions, plus video-derived pose keypoints. Designed with construction-industry stakeholders and validated against real site conditions (doi:10.3390/su14010220).
Details
- Subjects
- n = 13
- Protocol / load
- 16 simulated construction-work activities (installation, painting, drilling, cleaning, climbing, walking) designed with building-industry stakeholders
- Equipment
- 10-DOF wearable IMUs (accelerometer, gyroscope, magnetometer, barometer) at three body locations; body pose keypoints extracted from complementary video
- Formats
csv- License
- CC-BY-4.0
- Keywords
- construction, activity-recognition, har, wearable-sensors
- Added to catalog
- 2026-08-25
Cite
Cite the dataset as its authors request (check the source page for an official citation); this BibTeX is a convenience starting point.
@misc{vtt-coniot,
author = {Makela, S.-M. and Lamsa, A. and Keranen, J.S. and Liikka, J. and Ronkainen, J. and Peltola, J. and Haikio, J. and Bordallo Lopez, M.},
title = {{VTT-ConIoT: Activity Recognition of Construction Workers with IMUs}},
year = {2021},
doi = {10.5281/zenodo.4683703},
url = {https://doi.org/10.5281/zenodo.4683703},
}