The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the National Institute for Occupational Safety and Health. “, Participatory noise pollution monitoring using mobile phones. 2017 Mar 9;33(2):e00178215. The initial study examined 192 apps on the iOS and Android … Use of an Application to Verify Classroom Acoustic Recommendations for Children Who Are Hard of Hearing in a General Education Setting. A comprehensive, Challenges remain with using smartphones to collect and document. ANSI (1983). J Acoust Soc Am. Smartphone developers now offer many sound measurement applications (apps) using the devices’ built-in microphone (or through an external microphone for more sophisticated applications). Website © 2020 AIP Publishing LLC. Roberts, B., Please enable it to take advantage of the complete set of features! Improving the accuracy of smart devices to measure noise exposure. (a). We examined the accuracy of the unweighted (or flat) sound levels for each device over the 65–95 dB, The experiment was conducted using a split plot design with nominal sound level as the whole plot factor and, To analyze the data, we generated a randomization sampling schedule and employed analysis of variance using both SAS (Cary, SC) and Stata software (College Station, TX). ANSI S1.4-1983, Specification for Sound Level Meters (. Evaluation of smartphone sound measurement applications (apps) using external microphones—A follow-up study Chucri A. Kardousa) and Peter B. Shaw National Institute for Occupational Safety and Health (NIOSH), 1090 Tusculum Avenue, Cincinnati, Ohio 45226, USA ckardous@cdc.gov, pbs3@cdc.gov Abstract: This follow-up study examines the accuracy of selected This site needs JavaScript to work properly. Kardous, C., and Shaw, P. (2014). Am. The findings and conclusions in this study are those of the authors and do not necessarily represent the views of NIOSH. Online ahead of print. Participatory sensing: Crowdsourcing data from mobile smartphones in urban spaces, Development, use, and availability of a job exposure matrix based on national occupational hazard survey data, 1. Kardous, C., and Selecting this option will search all publications across the Scitation platform, Selecting this option will search all publications for the Publisher/Society in context, Evaluation of smartphone sound measurement applications using external microphones—A follow-up study, No correlation between headphone frequency response and retail price, Overview of geometrical room acoustic modeling techniques, Use of smartphone sound measurement apps for occupational noise assessments, Use of the kurtosis statistic in an evaluation of the effects of noise and solvent exposures on the hearing thresholds of workers: An exploratory study, Evaluation and calibration of mobile phones for noise monitoring application, National Institute for Occupational Safety and Health, Acoustic measurements and instrumentation, http://www.nielsen.com/us/en/newswire/2013/mobile-majority–u-s–smartphone-ownership-tops-60-.html, https://doi.org/10.1007/s11036-009-0217-y, A/C/SPL weighting, Int/Ext mic, TWA, Calibration, A/C/Z weighting, ISO/OSHA, Dose, Calibration, A/C/SPL weighting, Leq, Int/Ext mic, Calibration, A/C weighting, Leq, Int/Ext mic, Calibration. Neitzel, R. (2016). (a) Box plots of the differences between the reference and app measurements for both iMM-6 and i436 microphones by app (top), Figure 3(b) By nominal sound levels (bottom). This follow-up study examines the accuracy of selected smartphone sound measurement applications (apps) using external calibrated microphones. Nielsen. The initial study examined 192 apps on the iOS and Android platforms and found four iOS apps with mean differences of ±2 dB of a reference sound level measurement system. Tingay, J. Website © 2020 AIP Publishing LLC. (2013). Neitzel, R. (2016). 2020 Aug 18;17(16):6005. doi: 10.3390/ijerph17166005. a)Author to whom correspondence should be addressed. 2016; 140(4):EL327 (ISSN: 1520-8524) Kardous CA; Shaw PB. Data for the internal microphones were gathered in our previous study (Kardous & Shaw, 2014) (bottom). Mention of any company or product does not constitute endorsement by NIOSH. SPLnFFT app using iMM-6 microphones compared to ½” Larson-Davis 2559 random incidence type 1 microphone (left), Figure 1(b) test setup at NIOSH acoustic test chamber (top right), Figure 1(c) SoundMeter app using i436 microphones and Larson-Davis SLM 83 (bottom right). The results showed measurements … Nielsen. The Journal of the Acoustical Society of America, This follow-up study examines the accuracy of selected smartphone sound, The National Institute for Occupational Safety and Health (NIOSH) estimates that more than 22 million people in the United States are exposed to noise levels in excess of 85 A-weighted decibels (dBA) at their place of work.

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