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3 results for “ASSIST-IoT”

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zenodo44/100

ASSIST-IOT Open Call Project RAZOR DATASETS (INSIGHIO)

<p>Example datasets for road anomaly detection produced in the context of RAZOR Open Call ASSIST-IoT Project, carried out by INSIGHIO.</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

ASSIST-IoT Multimodal Fall Detection Dataset

<p>Multimodal dataset for fall detection. Includes acceleration data collected from a tag and two smartwatches, and location reported by the tag. More details about the data collection procedure can be found in&nbsp;<code>notes.md</code>.</p> <p><strong>Contents</strong></p> <p>The repository contains:</p> <ul> <li><code>data/location_data.csv</code>&nbsp;and&nbsp;<code>data/full_acceleration</code>&nbsp;&ndash; preprocessed acceleration and location data from 10 participants and mannequin simulated falls with target variable identified</li> <li><code>data/subsampled_acceleration_data.csv</code>&nbsp;&ndash; subsampled acceleration dataset used for training the AI model</li> <li><code>notes.md</code>&nbsp;&ndash; description of activities performed and notes from data collection</li> <li><code>videos</code>&nbsp;&ndash; reference videos for performed activities</li> </ul> <p><strong>Authors</strong></p> <ul> <li><a href="https://orcid.org/0000-0002-2543-9461">Piotr Sowiński</a>&nbsp;&ndash; research methodology, data collection and processing</li> <li><a href="https://orcid.org/0000-0003-3217-1050">Monika Kobus</a>&nbsp;&ndash; research methodology, data collection</li> <li><a href="https://orcid.org/0000-0003-4295-3005">Anna Dąbrowska</a>&nbsp;&ndash; research methodology, methodological supervision</li> <li><a href="https://orcid.org/0000-0003-1524-7877">Kajetan Rachwał</a>&nbsp;&ndash; data collection</li> <li><a href="https://orcid.org/0000-0002-7109-891X">Karolina Bogacka</a>&nbsp;&ndash; research methodology</li> <li><a href="https://orcid.org/0000-0002-9572-2705">Krzysztof Baszczyński</a>&nbsp;&ndash; research methodology, data collection</li> <li><a href="https://orcid.org/0000-0002-3080-0303">Anastasiya Danilenka</a>&nbsp;&ndash; research methodology, data collection and processing</li> </ul> <p><strong>Acknowledgements</strong></p> <p>This work is part of the&nbsp;<a href="https://assist-iot.eu/">ASSIST-IoT project</a>&nbsp;that has received funding from the EU&rsquo;s Horizon 2020 research and innovation programme under grant agreement No 957258.</p> <p>The&nbsp;<a href="https://www.ciop.pl/en">Central Institute for Labour Protection &ndash; National Research Institute</a>&nbsp;provided facilities and equipment for data collection.</p> <p><strong>License</strong></p> <p>The dataset is licensed under the&nbsp;<a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.</p>

opencc-by-4.0Sep 2023View details →
zenodo28/100

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opencc-by-4.0May 2024View details →

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