IMU Activity Recognition & Payload Estimation for Low-Back Exoskeletons
Pesenti M.
Politecnico di Milano · 2022 · Italy
IMU recordings from 12 subjects lifting and lowering boxes of 5-15 kg, pre-split into train/validation/test for intention (activity) classification and payload estimation, intended for low-back exoskeleton control. Sensors on chest, wrists and thighs; no exoskeleton was worn during collection.
Details
- Subjects
- n = 12 · 6F / 6M
- Setting
- Laboratory (controlled or simulated)
- Protocol / load
- Lifting and lowering a box with 5, 10 and 15 kg payloads (no exoskeleton worn during collection)
- Equipment
- 5x wireless IMU (chest, both wrists, both thighs)
- Sampling
- imu 100 Hz
- Formats
csv- License
- CC-BY-4.0
- Keywords
- exoskeleton, activity-recognition, payload-estimation, low-back, deep-learning
- Added to catalog
- 2026-07-11
Exoskeleton
- Record type
- Controller training data
- Body region
- Back
- Study design
- No device worn; recorded to train intention and payload estimation for low-back exoskeleton control
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{pesenti-exo-payload-imu,
author = {Pesenti, M.},
title = {{IMU Activity Recognition \& Payload Estimation for Low-Back Exoskeletons}},
year = {2022},
doi = {10.5281/zenodo.7182799},
url = {https://doi.org/10.5281/zenodo.7182799},
}