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.
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

Key numbers
How it works
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
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
Record updated
Papers
ActiNet: an open-source tool for activity intensity classification of wrist-worn accelerometry using self-supervised deep learningSame task: Activity recognitionScientific Reports · 2026
An open-source deep learning model for classifying real-world activity intensities in persons with chronic pain using a wrist-worn accelerometerSame task: Activity recognitionFrontiers in Digital Health 8:1783507 · 2026
Models
Datasets
HAR70+Same task: Activity recognitionolder adults (70-95 y), thigh + back accelerometers (n=18)18 subjects · IMU
OpenWatchSame task: Activity recognitionsmartwatch IMU+PPG hand-gesture benchmark (n=50, >10 h, 59 gesture sequences)50 subjects · PPG · IMU
ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic EnvironmentsSame task: Activity recognition17 subjects · PPG · ECG · IMU
