Evidence map›Paper›PMID 34007870›Full record

ArticleData in brief2021

Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices.

Ivan Miguel Pires, Nuno M Garcia, Eftim Zdravevski, Petre Lameski

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 59% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Ivan Miguel PiresInstituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal.
Nuno M GarciaInstituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal.
Eftim ZdravevskiFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000, Skopje, North Macedonia.
Petre LameskiFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000, Skopje, North Macedonia.
Saints Cyril and Methodius University of Skopje · MKInstituto de Telecomunicações · PTUniversity of Beira Interior · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Acoustic dataEnvironmentMicrophoneMobile devices

Identifiers

PMID34007870
PMCPMC8111260
OpenAlexW3154451765

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.