Testing the accuracy of smartphones and sound level meter applications for measuring environmental noise

Files in This Item:
 File SizeFormat
DownloadTestingSmartphoneAccuracy_MurphyKing_Repository.pdf429.1 kBAdobe PDF
Title: Testing the accuracy of smartphones and sound level meter applications for measuring environmental noise
Authors: Murphy, EndaKing, Eoin A.
Permanent link: http://hdl.handle.net/10197/7435
Date: May-2016
Online since: 2018-05-01T01:00:11Z
Abstract: This paper reports on experimental tests undertaken to assess the capability of noise monitoring applications to be utilized as an alternative low cost solution to traditional noise monitoring using a sound level meter. The methodology consisted of testing 100 smartphones in a reverberation room. Broadband white noise was utilized to test the ability of smartphones to measure noise at background, 50, 70 and 90 dB(A) and these measurements were compared with true noise levels acquired via a calibrated sound level meter. Tests were conducted on phones using the Android and iOS platforms. For each smartphone, tests were completed separately for leading noise monitoring apps culminating in 1472 tests. The results suggest that apps written for the iOS platform are superior to those running on the Android platform. They show that one of the apps tested – SLA Lite – is within ±1 dB of true noise levels across four different reference conditions. The results also show that there is a significant relationship between phone age and its ability to measure noise accurately. The research has implications for the future use of smartphones as low cost monitoring and assessment devices for environmental noise.
Funding Details: Irish Research Council
Funding Details: Fulbright Scholarship
College of Engineering, Technology and Architecture Faculty Student Engagement Grant at the University of Hartford, USA
Type of material: Journal Article
Publisher: Elsevier
Journal: Applied Acoustics
Volume: 106
Start page: 16
End page: 22
Copyright (published version): 2015 Elsevier
Keywords: Noise measurement appsEnvironmental noiseCrowd sourced noise monitoringSmartphones
DOI: 10.1016/j.apacoust.2015.12.012
Language: en
Status of Item: Peer reviewed
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Architecture, Planning and Environmental Policy Research Collection

Show full item record

Citations 5

Last Week
Last month
checked on Sep 12, 2020

Page view(s) 20

Last Week
Last month
checked on Aug 9, 2022

Download(s) 5

checked on Aug 9, 2022

Google ScholarTM



If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.