lara-logistics-har Open

LARa: Logistic Activity Recognition Challenge (v01)

Name: LARa: Logistic Activity Recognition Challenge (v01)
Published: 2020
License: https://creativecommons.org/licenses/by-nc/4.0/

Niemann F., Reining C., Moya Rueda F., Altermann E., Nair N.R., Steffens J.A., Fink G.A., ten Hompel M.

TU Dortmund University · 2020 · Germany

The first freely accessible logistics dataset for human activity recognition: two picking and one packing scenario from 14 participants, with mocap, IMU and RGB video annotated into 8 activity classes and 19 binary semantic attributes.

Optical mocapIMUVideoCarryingReachingMMHWalking

View source ↗DOI: 10.5281/zenodo.3862782

Details

Subjects: n = 14
Protocol / load: Warehouse picking and packing scenarios (758 min of footage)
Equipment: Optical mocap (OMoCap), IMUs, RGB video
Formats: csv, mp4
License: CC-BY-NC-4.0
Keywords: logistics, activity-recognition, har, picking, packing, non-commercial
Added to catalog: 2026-07-10

Cite

Cite the dataset as its authors request (check the source page for an official citation); this BibTeX is a convenience starting point.

@misc{lara-logistics-har,
  author = {Niemann, F. and Reining, C. and Moya Rueda, F. and Altermann, E. and Nair, N.R. and Steffens, J.A. and Fink, G.A. and ten Hompel, M.},
  title  = {{LARa: Logistic Activity Recognition Challenge (v01)}},
  year   = {2020},
  doi    = {10.5281/zenodo.3862782},
  url    = {https://doi.org/10.5281/zenodo.3862782},
}