Full-Body Motion Capture Dataset of Hospital Laundry and Kitchen Logistics Operations in Real-World Environments
Abstract
Work-related musculoskeletal disorders are highly prevalent in physically demanding occupations, yet the publicly available kinematic datasets that researchers use to study them are dominated by laboratory mock-ups and recruited volunteers, with very few corpora capturing experienced workers during actual production. Hospital logistic operations, in particular, remain almost entirely undocumented despite imposing physical demands comparable to those of warehouse and food-industry work. We present an in-the-field full-body kinematic dataset recorded at the logistic centres of the Centre Hospitalier Régional Universitaire (CHRU) of Nancy, France. Six permanent employees, with up to 32 years of professional experience, were recorded with a full-body inertial motion capture system while performing their daily work at different workstations across the Industrial Laundry and the Industrial Kitchen Units. For each recording, we release the raw and exported files, associated sub-task labels, anthropometric and demographic information, and, when available, synchronised load data from the workstation scale. Technical validation was performed on inertial measurement unit data. The dataset is intended as a benchmark for in-the-field activity recognition and ergonomic risk estimation, and as a reference for the design of assistive technologies for hospital support services.
Related
BibTeX
@misc{bucchieri2026fullbody,
title = {{Full-Body Motion Capture Dataset of Hospital Laundry and Kitchen Logistics Operations in Real-World Environments}},
author = {Anna Bucchieri and Noemie Forest and Pauline Maurice and Khalid El Madiani and Steve Jamis and Loic Becker and Thomas Thockler and Nicla Settembre and Serena Ivaldi},
howpublished = {HAL},
year = {2026},
month = oct,
url = {https://hal.science/hal-05785599v1},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - Full-Body Motion Capture Dataset of Hospital Laundry and Kitchen Logistics Operations in Real-World Environments
AU - Anna Bucchieri
AU - Noemie Forest
AU - Pauline Maurice
AU - Khalid El Madiani
AU - Steve Jamis
AU - Loic Becker
AU - Thomas Thockler
AU - Nicla Settembre
AU - Serena Ivaldi
PY - 2026
DA - 2026/10/08
PB - HAL
UR - https://hal.science/hal-05785599v1
AB - Work-related musculoskeletal disorders are highly prevalent in physically demanding occupations, yet the publicly available kinematic datasets that researchers use to study them are dominated by laboratory mock-ups and recruited volunteers, with very few corpora capturing experienced workers during actual production. Hospital logistic operations, in particular, remain almost entirely undocumented despite imposing physical demands comparable to those of warehouse and food-industry work. We present an in-the-field full-body kinematic dataset recorded at the logistic centres of the Centre Hospitalier Régional Universitaire (CHRU) of Nancy, France. Six permanent employees, with up to 32 years of professional experience, were recorded with a full-body inertial motion capture system while performing their daily work at different workstations across the Industrial Laundry and the Industrial Kitchen Units. For each recording, we release the raw and exported files, associated sub-task labels, anthropometric and demographic information, and, when available, synchronised load data from the workstation scale. Technical validation was performed on inertial measurement unit data. The dataset is intended as a benchmark for in-the-field activity recognition and ergonomic risk estimation, and as a reference for the design of assistive technologies for hospital support services.
ER -