Comprehensive Dataset for Event Classification Using Distributed Acoustic Sensing (DAS) Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0197921" target="_blank" >RIV/00216305:26220/26:0197921 - isvavai.cz</a>
Result on the web
<a href="https://www.nature.com/articles/s41597-025-05088-4" target="_blank" >https://www.nature.com/articles/s41597-025-05088-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41597-025-05088-4" target="_blank" >10.1038/s41597-025-05088-4</a>

Result language
angličtina
Original language name
Comprehensive Dataset for Event Classification Using Distributed Acoustic Sensing (DAS) Systems
Original language description
Distributed Acoustic Sensing (DAS) technology leverages optical fibers to detect acoustic signals over long distances, offering high-resolution data critical for applications such as seismic monitoring, structural health monitoring, and security. A significant challenge in DAS systems is the accurate classification of detected events, which is crucial for their reliability. Traditional signal processing methods often struggle with the high-dimensional, noisy data produced by DAS systems, making advanced machine learning techniques essential for improved event classification. However, the lack of large, high-quality datasets has hindered progress. In this study, we present a comprehensive labeled dataset of DAS measurements collected around a university campus, featuring events such as walking, running, and vehicular movement, as well as potential security threats. This dataset provides a valuable resource for developing and validating machine learning models, enabling more accurate and automated event classification. The quality of the dataset is demonstrated through the successful training of a Convolutional Neural Network (CNN).
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20203 - Telecommunications

Project
<a href="/en/project/VK01030121" target="_blank" >VK01030121: Middle range distributed fiber-optic sensing system for acoustic vibration and temperature monitoring on critical infrastructures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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