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Dataset . 2020
License: CC BY
Data sources: Datacite
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Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
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InHARD - Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative Robotics

Research datakeyboard_double_arrow_right Dataset 07 Sep 2020 English Publisher:Zenodo
Authors: DALLEL, Mejdi; HAVARD, Vincent; BAUDRY, David; SAVATIER, Xavier;

doi: 10.5281/zenodo.4003541 , 10.5281/zenodo.4003540

InHARD - Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative Robotics

Abstract

Objectives We introduce a RGB+S dataset named “Industrial Human Action Recognition Dataset” (InHARD) from a real-world setting for industrial human action recognition with over 2 million frames, collected from 16 distinct subjects. This dataset contains 13 different industrial action classes and over 4800 action samples. The introduction of this dataset should allow us the study and development of various learning techniques for the task of human actions analysis inside industrial environments involving human robot collaborations. Read 00-README.txt for detailed download instructions. More details on the dataset at https://github.com/vhavard/InHARD This work has been performed at the CESI LINEACT : https://recherche.cesi.fr/inhard-industrial-human-action-recognition-dataset/

Parts of this work has been performed within the AGIRH project and has been funded in the framework of the Normandy Regional Council

Keywords

RGB, Human-Robot Collaboration, Deep Learning, HAR, HRC, Human Action Recognition, Industry 4.0, LSTM, RNN, Skeleton

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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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