| Title: | SONAR, a nursing activity dataset with inertial sensors |
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| Authors: | ID Konak, Orhan (Author)
ID Liebe, Lucas (Author)
ID Postnov, Kirill (Author)
ID Sauerwald, Franz (Author)
ID Gjoreski, Hristijan (Author)
ID Luštrek, Mitja, Institut Jožef Stefan (Author)
ID Arnrich, Bert (Author) |
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| Files: |  URL - Source URL, visit https://www.nature.com/articles/s41597-023-02620-2#article-info
 PDF - Presentation file, download (1,62 MB)
MD5: F277E14245FB7A592D370FB8C0D9297D
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| Language: | English |
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| Typology: | 1.03 - Short Scientific Article |
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| Organization: |  IJS - Jožef Stefan Institute
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| Abstract: | Accurate and comprehensive nursing documentation is essential to ensure quality patient care. To streamline this process, we present SONAR, a publicly available dataset of nursing activities recorded using inertial sensors in a nursing home. The dataset includes 14 sensor streams, such as acceleration and angular velocity, and 23 activities recorded by 14 caregivers using five sensors for 61.7 hours. The caregivers wore the sensors as they performed their daily tasks, allowing for continuous monitoring of their activities. We additionally provide machine learning models that recognize the nursing activities given the sensor data. In particular, we present benchmarks for three deep learning model architectures and evaluate their performance using different metrics and sensor locations. Our dataset, which can be used for research on sensor-based human activity recognition in real-world settings, has the potential to improve nursing care by providing valuable insights that can identify areas for improvement, facilitate accurate documentation, and tailor care to specific patient conditions. |
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| Keywords: | nursing documentation, nursing activities, SONAR, sensors |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 02.05.2023 |
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| Article acceptance date: | 05.10.2023 |
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| Publication date: | 20.10.2023 |
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| Publisher: | Springer Nature |
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| Year of publishing: | 2023 |
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| Number of pages: | str. 1-12 |
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| Numbering: | Vol. 10, article no. 727 |
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| Source: | Švica |
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| PID: | 20.500.12556/DiRROS-17497  |
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| UDC: | 681.5 |
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| ISSN on article: | 2052-4463 |
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| DOI: | 10.1038/s41597-023-02620-2 |
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| COBISS.SI-ID: | 174723075 |
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| Copyright: | © The Author(s) 2023 |
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| Note: | Nasl. z nasl. zaslona;
Soavtor iz Slovenije: Mitja Luštrek;
Opis vira z dne 4. 12. 2023;
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| Publication date in DiRROS: | 11.12.2023 |
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| Views: | 222 |
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| Downloads: | 118 |
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