Dataset

VTT-ConIoT

construction-worker activity recognition with three body-worn 10-DOF IMUs (13 subjects, 16 activities; Zenodo CC BY 4.0)

IMUZenodoRaw waveforms

https://zenodo.org/records/4683703 (DOI 10.5281/zenodo.4683703). Paper: Mäkelä et al., Sustainability 2022, 14(1):220 (doi 10.3390/su14010220). Found via arXiv 2610.31160 (BSN 2026), which uses it.

At a glance
Type
Dataset
Licence
Not reported
Access
Not reported
Subjects
13
Signals
IMU
PPG sites
None
Setting
Lab
Wrist
No
Raw waveforms
Yes
Tasks
HAR
Updated
Oct 27, 2026

Original description

VTT-ConIoT, a new publicly available dataset for the evaluation of HAR from inertial sensors in professional construction settings.The dataset contains data from 13 users and 16 different activities, collected from three differentwearable sensor locations.

The dataset contains also body/pose keypoints obtained from complementary video.

The dataset has been validated in a real construction site.

Verbatim fromZenodo· Licence: cc-by-4.0

VTT-ConIoT: ChatPPG research summary card

Key numbers

13
Subjects
1
Reference labels
ACTIVITY
0.033 Hz
Released sampling rate
accel 103 Hz; gyro/mag 97 Hz; barometer 0.033 Hz

How it works

How VTT-ConIoT works: Devices & body sites → Signals recorded → TasksDevices & body sites: None (PPG site). Signals recorded: VTT-ConIoT, 13 subjects · 0.033 Hz, signals IMU. Tasks: Activity recognition.Devices & body sitesNone: PPG siteNonePPG siteSignals recordedVTT-ConIoT13 subjects · 0.033 HzxyzIMUTasksActivity recognitionActivity recognition

No model in the hub reports results on this dataset yet.

Sampling
accel 103 Hz; gyro/mag 97 Hz; barometer 0.033 Hz
Reference labels
activity
Device roles
Study wearable (IMU)

Models trained or evaluated on it

No model in the hub reports results on VTT-ConIoT yet. Be the first: results submitted with a paper are added here.

FAQ

How many subjects are in VTT-ConIoT?

VTT-ConIoT has data from 13 subjects, as listed in its research record.

What signals does VTT-ConIoT include?

VTT-ConIoT includes IMU data. Sampling rate as recorded: accel 103 Hz; gyro/mag 97 Hz; barometer 0.033 Hz. Raw waveforms are included.

What can VTT-ConIoT be used for?

Research tasks it supports: human activity recognition. Reference labels: activity.

How do I get VTT-ConIoT, and what is its licence?

It is hosted on Zenodo at https://zenodo.org/records/4683703. No licence is recorded for it here, so check the terms on the source page before you use it.

Cite

APA

VTT-ConIoT [Data set]. (n.d.). zenodo. https://doi.org/10.5281/zenodo.4683703

BibTeX

@misc{vttconiotvttconiot,
  title         = {{VTT-ConIoT}},
  howpublished  = {zenodo},
  doi           = {10.5281/zenodo.4683703}
}

Built from the hub record. Check it against the publisher before submitting.

Cite the ChatPPG record

Cite the dated snapshot 2026-10 for a fixed, reproducible version. Please also cite the original publications listed above.

APA

ChatPPG. (2026). VTT-ConIoT: dataset record (Version 2026-10) [Data set]. ChatPPG Research Hub. https://chatppg.com/research/datasets/vtt-coniot

BibTeX
@misc{chatppg_dataset_vtt_coniot,
  author       = {{ChatPPG}},
  title        = {{VTT-ConIoT: dataset record}},
  year         = {2026},
  month        = oct,
  version      = {2026-10},
  howpublished = {\url{https://chatppg.com/research/datasets/vtt-coniot}},
  note         = {ChatPPG Research Hub, Snapshot 2026-10, https://chatppg.com/research/snapshots/2026-10}
}
CITATION.cff
cff-version: 1.2.0
message: "If you use this resource, please cite it as below."
type: dataset
title: "VTT-ConIoT: dataset record"
authors:
  - name: "ChatPPG"
url: "https://chatppg.com/research/datasets/vtt-coniot"
repository-artifact: "https://chatppg.com/research/snapshots/2026-10"
version: "2026-10"
date-released: "2026-10-27"

History

  1. Record updated