“ Evaluation of smartphone sound measurement applications,” J. Acoust. Kardous, C., and
A comprehensive, Challenges remain with using smartphones to collect and document. 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. “. Kardous, C., and
McLennon T, Patel S, Behar A, Abdoli-Eramaki M. J Occup Environ Hyg. (2013). 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 firstname.lastname@example.org, email@example.com Abstract: This follow-up study examines the accuracy of selected Only 4 out of 62 Android apps were tested. ANSI S1.4-1983, Specification for Sound Level Meters (. 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. | | (2013). J Acoust Soc Am. 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. To sign up for alerts, please log in first. Neitzel, R. (2016). This study suggests that using external calibrated microphones greatly improves the overall accuracy and precision of smartphone sound measurements, and removes much of the variability and limitations associated with the built-in smartphone microphones. Improving the accuracy of smart devices to measure noise exposure. Evaluation of smartphone sound measurement applications. ANSI (1983). doi: 10.1590/0102-311X00178215. The ubiquity of smartphones and the adoption of smartphone sound measurement apps can have a tremendous and far-reaching impact in this area as every smartphone can be potentially turned into dosimeter or sound … 135, EL186– EL192. Smartphone apps were selected based on occupational relevancy criteria: (1) Ability to report unweighted (C/Z/flat) or A-weighted, A total of 62 Android apps were examined and downloaded from the Google Play store but only 4 apps, For our experimental setup, we generated pink, To analyze the data, we generated a randomization sampling schedule and employed analysis of variance using both, The effect of primary interest, the app, was highly significant with a, A similar examination of Android apps and, The Android-based apps did not have features and functionality similar to the iOS apps. The initial study examined 192 apps on the iOS and Android … http://eyeonearth.org/map/NoiseWatch/ (Last viewed June 23, 2013). 2019 Jan 23;16(3):308. doi: 10.3390/ijerph16030308. Epub 2019 Nov 4. Bender JL, Yue RY, To MJ, Deacken L, Jadad AR. (a). Int J Environ Res Public Health. Clipboard, Search History, and several other advanced features are temporarily unavailable. Acoustic, Pitfall Trap, and Visual Surveys of Stored Product Insect Pests in Kenyan Warehouses. 2020 Oct 22. doi: 10.1016/j.eng.2020.07.023. Mobile Majority: U.S. smartphone ownership tops 60%. eyeonearth.org. Criteria for a recommended standard: Occupational noise exposure, International Electrotechnical Commission, 3. Website © 2020 AIP Publishing LLC. Workplace, This paper describes a pilot study to assess the functionality and accuracy of smartphone, We selected and acquired a representative sample of the popular smartphones and tablets on the market as of January 2013 (iPhone 3GS, iPhone 4S, iPhone 5, iPad 4th generation, Samsung Galaxy S3, Samsung Note, Samsung Focus, HTC One X, and Motorola DROID RAZR). 2019 Dec 16;28(4):927-934. doi: 10.1044/2019_AJA-19-0041. Mention of any company or product does not constitute endorsement by NIOSH. Kardous, C., and Shaw, P. (2014). USA.gov. This study evaluated the same four apps using external microphones. 2016 Nov;13(11):840-6. doi: 10.1080/15459624.2016.1183014. 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. National Center for Biotechnology Information, Unable to load your collection due to an error, Unable to load your delegates due to an error. Use of an Application to Verify Classroom Acoustic Recommendations for Children Who Are Hard of Hearing in a General Education Setting. Leaffer D, Wolfe C, Doroff S, Gute D, Wang G, Ryan P. Int J Environ Res Public Health. Am. J Occup Environ Hyg. Mention of any company or product does not constitute endorsement by NIOSH. Selecting this option will search the current publication in context. Cad Saude Publica. The Journal of the Acoustical Society of America, This study reports on the accuracy of smartphone, As of June 2013, smartphone penetration in the U.S. market has reached more than 60% of all mobile subscribers with more than 140 × 10, Several government and research organizations have commissioned participatory, The National Institute for Occupational Safety and Health (NIOSH) conducts scientific research and provides guidance to reduce workplace injury and illness. eyeonearth.org. This study reports on the accuracy of smartphone sound measurement applications (apps) and whether they can be appropriately employed for occupational noise measurements. Nielsen. A review of smartphone apps for smoking cessation available in Portuguese. 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. A lot of action, but not in the right direction: systematic review and content analysis of smartphone applications for the prevention, detection, and management of cancer. J Med Internet Res. This is likely due to the development ecosystem of the Android marketplace and users' expectations for free or low priced apps. Perspectives of individual-worn sensors assessing personal environmental exposure. Maisonneuve, N., Mattias, S., Nissen, M. E., Hanappe, P., and Steels, L. (2009). 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. Evaluation of smartphone sound level meter applications as a reliable tool for noise monitoring. European Environment Agency. a)Author to whom correspondence should be addressed. Shaw, P. (2014). We used the difference between the actual sound level (as, The manufacturer, MicW, claims that the i436, Overall, all four apps performed well using both sets of external, Since the acquisition of acoustical calibrators may be prohibitively expensive for some users, some, Although not examined in this study, the use of external calibrated, As with the earlier study, this follow-up study has several limitations and constraints—mainly, This study expands our previous study that evaluated the performance of sound.