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Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices
All mobile devices include a microphone that can be used for acoustic data acquisition. This article presents a dataset of acoustic signals related to nine environments, captured with a microphone embedded on off-the-shelf mobile devices. The mobile phone can be placed in the pants pockets, in a wri...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111260/ https://www.ncbi.nlm.nih.gov/pubmed/34007870 http://dx.doi.org/10.1016/j.dib.2021.107051 |
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author | Pires, Ivan Miguel Garcia, Nuno M. Zdravevski, Eftim Lameski, Petre |
author_facet | Pires, Ivan Miguel Garcia, Nuno M. Zdravevski, Eftim Lameski, Petre |
author_sort | Pires, Ivan Miguel |
collection | PubMed |
description | All mobile devices include a microphone that can be used for acoustic data acquisition. This article presents a dataset of acoustic signals related to nine environments, captured with a microphone embedded on off-the-shelf mobile devices. The mobile phone can be placed in the pants pockets, in a wristband, over the bedside table, on a table, or on other furniture. Data collection environments are bar, classroom, gym, kitchen, library, street, hall, living room, and bedroom. The data was collected by 25 individuals (15 men and 10 women) in different environments around Covilhã and Fundão municipalities (Portugal). The microphone data was sampled with 44,100 Hz into an array with 16-bit unsigned integer values in the range [0, 255] with a 128 offset for zero. The dataset presented in this paper presents at least 2000 samples of 5 s of data for each environment, corresponding to around 2.8 h for each environment into text files. In total, it includes at least 25.2 h of acoustic data for the implementation of data processing techniques, e.g., Fast Fourier Transform (FFT), and other machine learning methods for the different analysis. |
format | Online Article Text |
id | pubmed-8111260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-81112602021-05-17 Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices Pires, Ivan Miguel Garcia, Nuno M. Zdravevski, Eftim Lameski, Petre Data Brief Data Article All mobile devices include a microphone that can be used for acoustic data acquisition. This article presents a dataset of acoustic signals related to nine environments, captured with a microphone embedded on off-the-shelf mobile devices. The mobile phone can be placed in the pants pockets, in a wristband, over the bedside table, on a table, or on other furniture. Data collection environments are bar, classroom, gym, kitchen, library, street, hall, living room, and bedroom. The data was collected by 25 individuals (15 men and 10 women) in different environments around Covilhã and Fundão municipalities (Portugal). The microphone data was sampled with 44,100 Hz into an array with 16-bit unsigned integer values in the range [0, 255] with a 128 offset for zero. The dataset presented in this paper presents at least 2000 samples of 5 s of data for each environment, corresponding to around 2.8 h for each environment into text files. In total, it includes at least 25.2 h of acoustic data for the implementation of data processing techniques, e.g., Fast Fourier Transform (FFT), and other machine learning methods for the different analysis. Elsevier 2021-04-11 /pmc/articles/PMC8111260/ /pubmed/34007870 http://dx.doi.org/10.1016/j.dib.2021.107051 Text en © 2021 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Pires, Ivan Miguel Garcia, Nuno M. Zdravevski, Eftim Lameski, Petre Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices |
title | Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices |
title_full | Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices |
title_fullStr | Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices |
title_full_unstemmed | Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices |
title_short | Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices |
title_sort | indoor and outdoor environmental data: a dataset with acoustic data acquired by the microphone embedded on mobile devices |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111260/ https://www.ncbi.nlm.nih.gov/pubmed/34007870 http://dx.doi.org/10.1016/j.dib.2021.107051 |
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