Literature DB >> 25236152

Evaluation of smartphone sound measurement applications.

Chucri A Kardous1, Peter B Shaw1.   

Abstract

This study reports on the accuracy of smartphone sound measurement applications (apps) and whether they can be appropriately employed for occupational noise measurements. A representative sample of smartphones and tablets on various platforms were acquired, more than 130 iOS apps were evaluated but only 10 apps met our selection criteria. Only 4 out of 62 Android apps were tested. The results showed two apps with mean differences of 0.07 dB (unweighted) and -0.52 dB (A-weighted) from the reference values. Two other apps had mean differences within ±2 dB. The study suggests that certain apps may be appropriate for use in occupational noise measurements.

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Mesh:

Year:  2014        PMID: 25236152      PMCID: PMC4659422          DOI: 10.1121/1.4865269

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  1 in total

1.  Development, use, and availability of a job exposure matrix based on national occupational hazard survey data.

Authors:  W K Sieber; D S Sundin; T M Frazier; C F Robinson
Journal:  Am J Ind Med       Date:  1991       Impact factor: 2.214

  1 in total
  36 in total

1.  So How Good are These Smartphone Sound Measurement Apps?

Authors:  Chucri A Kardous; Peter B Shaw
Journal:  Update Counc Accredit Occup Hearing Conserv       Date:  2013

2.  Turning Numbers into Knowledge: Sensors for Safety, Health, Well-being, and Productivity.

Authors:  Mark D Hoover; D Gayle Debord
Journal:  Synergist (Akron)       Date:  2015-03

3.  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

4.  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

5.  Traffic noise mapping of Indian roads through smartphone user community participation.

Authors:  Rajiv Kumar; Abhijit Mukherjee; V P Singh
Journal:  Environ Monit Assess       Date:  2016-12-14       Impact factor: 2.513

6.  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

7.  Pressure reciprocity calibration of a MEMS microphone.

Authors:  Randall P Wagner; Steven E Fick
Journal:  J Acoust Soc Am       Date:  2017-09       Impact factor: 1.840

8.  Evaluation of smartphone sound measurement applications (apps) using external microphones-A follow-up study.

Authors:  Chucri A Kardous; Peter B Shaw
Journal:  J Acoust Soc Am       Date:  2016-10       Impact factor: 1.840

9.  Reproducibility of Voice Parameters: The Effect of Room Acoustics and Microphones.

Authors:  Pasquale Bottalico; Juliana Codino; Lady Catherine Cantor-Cutiva; Katherine Marks; Charles J Nudelman; Jean Skeffington; Rahul Shrivastav; Maria Cristina Jackson-Menaldi; Eric J Hunter; Adam D Rubin
Journal:  J Voice       Date:  2018-11-22       Impact factor: 2.009

10.  Assessment of Noise Exposure to Children: Considerations for the National Children's Study.

Authors:  Susan Marie Viet; Michael Dellarco; Dorr G Dearborn; Richard Neitzel
Journal:  J Pregnancy Child Health       Date:  2014-10
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