Data-driven classification of events in the vicinity of an optical fibre
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Date
2021-06-29
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Mark
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International Society for Science and Engineering, o.s.
Abstract
This article focuses on the data-driven classification of vibration sources via a distributed optical fibre sensor system utilizing Gaussian Mixture Models and Mel-spectrograms. In total, six categories are considered: one person walking/running, group walking/running, hammering, and car riding. Two evaluation scenarios are used: individual models (per-session) and a joint model. Tenfold cross-validation is employed during the evaluation phase.
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Peer-reviewed
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en
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(C) 2021 Elektrorevue