Multi-Sensor Device for Police Firearm Monitoring Raw Dataset

DOI

The following dataset consists of pre-labeled multivariate time-series vectors collected from a firearm monitoring device. It includes data from a piezoelectric sensor, which captures vibrations generated by the firearm, and a photoelectric sensor, which measures the remaining number of rounds in the firearm's magazine. The labeled classes in the dataset represent typical firearm manipulations, including shots, reloads, and other related actions. The data was collected between March and May 2025 at the shooting training camp in Lleida by police instructors and specialized officers. The structure and format of the dataset are designed to support the training of deep learning algorithms for classifying event labels or extracting other metadata from the combined sensor data.

Identifier
DOI https://doi.org/10.34810/data2268
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2268
Provenance
Creator Gairí Pallarés, Pau ORCID logo; Tresanchez Ribes, Marcel ORCID logo; Pallejà Cabrè, Tomàs ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Gairi Pallares, Pau; Universitat de Lleida
Publication Year 2025
Funding Reference UdL-Banc Santander
Rights CC BY-NC-SA 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-sa/4.0
OpenAccess true
Contact Gairi Pallares, Pau (Universitat de Lleida)
Representation
Resource Type Experimental data; Dataset
Format text/plain; text/csv
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Version 2.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences
Spatial Coverage Lleida