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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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VTT-ConIot: A realistic dataset for activity recognition of construction workers using wearable inertial sensors

Authors: Satu-Marja Mäkelä; Arttu Lämsä; Janne S. Keränen; Jussi Liikka; Jussi Ronkainen; Johannes Peltola; Juha Häikiö; +1 Authors

VTT-ConIot: A realistic dataset for activity recognition of construction workers using wearable inertial sensors

Abstract

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.

{"references": ["Makela Satu-Marja, Lamsa Arttu, Keranen Janne S., Liikka Jussi, Ronkainen Jussi, Peltola Johannes,Haikio Juha and Bordallo Lopez Miguel (2021) \" Introducing VTT-ConIot: A realistic dataset for activityrecognition of construction workers using IMU devices\""]}

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Keywords

IoT, Inertial Sensors, Human Activity Recognition, Construction

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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