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...
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doaj-2e8144fb3910485aaa1dd1bf1d36e6132021-06-27T04:38:07ZengElsevierData in Brief2352-34092021-06-0136107051Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devicesIvan Miguel Pires0Nuno M. Garcia1Eftim Zdravevski2Petre Lameski3Instituto de Telecomunicações1, Universidade da Beira Interior2, 6200-001 Covilhã, Portugal; Department of Computer Science, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal; UICISA:E Research Centre3, School of Health, Polytechnic Institute of Viseu, 3504-510, Viseu, Portugal; Corresponding author.Instituto de Telecomunicações1, Universidade da Beira Interior2, 6200-001 Covilhã, PortugalFaculty of Computer Science and Engineering4, University Ss Cyril and Methodius, 1000, Skopje, North MacedoniaFaculty of Computer Science and Engineering4, University Ss Cyril and Methodius, 1000, Skopje, North MacedoniaAll 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.http://www.sciencedirect.com/science/article/pii/S2352340921003358EnvironmentMicrophoneAcoustic dataMobile devices |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ivan Miguel Pires Nuno M. Garcia Eftim Zdravevski Petre Lameski |
spellingShingle |
Ivan Miguel Pires Nuno M. Garcia Eftim Zdravevski Petre Lameski Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices Data in Brief Environment Microphone Acoustic data Mobile devices |
author_facet |
Ivan Miguel Pires Nuno M. Garcia Eftim Zdravevski Petre Lameski |
author_sort |
Ivan Miguel Pires |
title |
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_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_sort |
indoor and outdoor environmental data: a dataset with acoustic data acquired by the microphone embedded on mobile devices |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2021-06-01 |
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. |
topic |
Environment Microphone Acoustic data Mobile devices |
url |
http://www.sciencedirect.com/science/article/pii/S2352340921003358 |
work_keys_str_mv |
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