Peer-reviewedCC BYSensors (Basel, Switzerland)
A Multimodal IMU-RTLS Manufacturing Motion Dataset for Worker Activity Recognition
- 1School of Engineering, , Newcastle Upon Tyne NE1 7RU, UK
- 2Department of Industrial Engineering, , Via Sommarive 9, 38123 Trento, Italy;
Related
- EVIORA-HAR: A multimodal dataset for elderly activity recognition and safety-controlled fall detection using wearable inertial sensors and multi-view cameras
- A Physics-Informed ConvFormer with State-Space Gating for Smartphone-Based Human Activity Recognition on the WISDM Dataset
- A Multicamera Classroom Dataset for Deep Learning-Based Student Action Recognition and Engagement Analysis
- Motion-state recognition of satellite active components based on high-frequency photometric signals
- Amh3MD multimodal dataset and deep learning model for information disorder detection in social media
BibTeX
@article{sbaragli2026multimodal,
title = {{A Multimodal IMU-RTLS Manufacturing Motion Dataset for Worker Activity Recognition}},
author = {Andrea Sbaragli and Matteo Nardello},
journal = {Sensors (Basel, Switzerland)},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13709466},
note = {CC BY},
}
RIS
TY - JOUR
TI - A Multimodal IMU-RTLS Manufacturing Motion Dataset for Worker Activity Recognition
AU - Andrea Sbaragli
AU - Matteo Nardello
PY - 2026
DA - 2026/10/01
JO - Sensors (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13709466
SN - 1424-8220
ER -