Egocentric Multimodal Manual Material Handling Dataset
NJIT Occupational Biomechanics Lab
New Jersey Institute of Technology (AnyMotion Lab) · 2026 · United States
Synchronized optical motion capture, first-person 360 video, and physiological signals from simulated lifting tasks, collected to support fatigue-aware and vision-driven control of an active low-back exoskeleton. Release planned.
Release pending
Details
- Protocol / load
- Boxes at multiple weights, walking and carrying in confined space
- Equipment
- OptiTrack optical mocap, helmet-mounted GoPro MAX 360 (Gen 2), physiological sensors
- Sampling
- mocap 120 Hz · video 60 Hz
- Formats
c3d,mp4,csv- License
- TBD
- Keywords
- egocentric, fatigue-aware, vision-driven-control, low-back-exoskeleton
- Added to catalog
- 2026-01-01
Exoskeleton
- Record type
- Controller training data
- Body region
- Back
- Study design
- No device worn; collected for fatigue-aware, vision-driven control of an active low-back exoskeleton
This record is part of the exoskeleton collection.
Cite
Cite the dataset as its authors request (check the source page for an official citation); this BibTeX is a convenience starting point.
@misc{njit-egocentric-mmh,
author = {{NJIT Occupational Biomechanics Lab}},
title = {{Egocentric Multimodal Manual Material Handling Dataset}},
year = {2026},
}