Literature DB >> 25209033

Sound level measurements using smartphone "apps": useful or inaccurate?

Daniel R Nast, William S Speer, Colleen G Le Prell1.   

Abstract

Many recreational activities are accompanied by loud concurrent sounds and decisions regarding the hearing hazards associated with these activities depend on accurate sound measurements. Sound level meters (SLMs) are designed for this purpose, but these are technical instruments that are not typically available in recreational settings and require training to use properly. Mobile technology has made such sound level measurements more feasible for even inexperienced users. Here, we assessed the accuracy of sound level measurements made using five mobile phone applications or "apps" on an Apple iPhone 4S, one of the most widely used mobile phones. Accuracy was assessed by comparing application-based measurements to measurements made using a calibrated SLM. Whereas most apps erred by reporting higher sound levels, one application measured levels within 5 dB of a calibrated SLM across all frequencies tested.

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Year:  2014        PMID: 25209033     DOI: 10.4103/1463-1741.140495

Source DB:  PubMed          Journal:  Noise Health        ISSN: 1463-1741            Impact factor:   0.867


  14 in total

1.  Improving the accuracy of smart devices to measure noise exposure.

Authors:  Benjamin Roberts; Chucri Kardous; Richard Neitzel
Journal:  J Occup Environ Hyg       Date:  2016-11       Impact factor: 2.155

2.  Pilot study of methods and equipment for in-home noise level measurements.

Authors:  Richard L Neitzel; Maire S A Heikkinen; Christopher C Williams; Susan Marie Viet; Michael Dellarco
Journal:  Appl Acoust       Date:  2015-01-15       Impact factor: 2.639

3.  An inexpensive sensor for noise.

Authors:  Laura Hallett; Marcus Tatum; Geb Thomas; Sinan Sousan; Kirsten Koehler; Thomas Peters
Journal:  J Occup Environ Hyg       Date:  2018-05       Impact factor: 2.155

Review 4.  [Smartphone app-supported approaches to tinnitus therapy].

Authors:  G Hesse
Journal:  HNO       Date:  2018-05       Impact factor: 1.284

5.  Noise Source Visualization Using a Digital Voice Recorder and Low-Cost Sensors.

Authors:  Yong Thung Cho
Journal:  Sensors (Basel)       Date:  2018-04-03       Impact factor: 3.576

6.  Wireless Sensor Networks for Long-Term Monitoring of Urban Noise.

Authors:  Courtney Peckens; Cédric Porter; Taylor Rink
Journal:  Sensors (Basel)       Date:  2018-09-19       Impact factor: 3.576

7.  Accurate Indoor Sound Level Measurement on a Low-Power and Low-Cost Wireless Sensor Node.

Authors:  Vladimir Risojević; Robert Rozman; Ratko Pilipović; Rok Češnovar; Patricio Bulić
Journal:  Sensors (Basel)       Date:  2018-07-19       Impact factor: 3.576

8.  Using Smart Devices to Measure Intermittent Noise in the Workplace.

Authors:  Benjamin Roberts; Richard Lee Neitzel
Journal:  Noise Health       Date:  2017 Mar-Apr       Impact factor: 0.867

9.  Accurate Ambient Noise Assessment Using Smartphones.

Authors:  Willian Zamora; Carlos T Calafate; Juan-Carlos Cano; Pietro Manzoni
Journal:  Sensors (Basel)       Date:  2017-04-21       Impact factor: 3.576

10.  OTP-PRL: an app for occupational risk prevention in policing activities.

Authors:  José C Vera-Jiménez; Marta Ferreiro-González; Gerardo F Barbero; José Ángel Álvarez; Francisco Fernández-Zacarías; Jesús Ayuso
Journal:  BMC Public Health       Date:  2019-11-21       Impact factor: 3.295

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