On the use of smartphones for occupational noise monitoring. Dumoulin, R. & Voix, J. In Canadian Acoustics, volume Vol. 40, No.2, pages p. 52--53, Banff (AB), 2012. Canadian Acoustical Association. ![On the use of smartphones for occupational noise monitoring [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex Although noise induced hearing loss represents the number one occupational disease, individual workers’ noise exposure levels are still rarely precisely known and infrequently tracked. Indeed, standardized noise exposure campaigns have as their principle disadvantages the cost of instrumentation and the difficulties associated with ease of implementation. In opposition to these procedures informal noise surveys carried out with cheaper basic sound level meters do not hold enough statistical power. This paper presents ongoing research of the WikiLeq project which plans to propose an alternate solution with the use of smartphones. WikiLeq is an open source framework for monitoring occupational noise with two simultaneous approaches: the first one features a personal full work shift dosimetric assessment, while the other features a participative sound pressure levels mapping with innovative calibration method hosted on the WikiLeq server. First, electroacoustic characteristics for various types of smartphones and accessories, including built-in, headset-embedded and Bluetooth® earpiece embedded microphones will be presented. The associated measurement uncertainties will then be estimated and discussed. The calibration method based on the previous measured characteristics and implemented in a WikiLeq Android™ “app” will be detailed with regard to measurement device uncertainty. Second, the uncertainty associated both with geo-localised noise level measurements and exposure duration will be outlined as a future work. Finally, the comparison of confidence intervals for measurements conducted with the proposed WikiLeq system and the ones of standardized noise measurement procedures will be highlighted for proper design of a sampling strategy adapted to the smartphone-based approach.
@inproceedings{ dumoulin_use_2012,
address = {Banff ({AB})},
title = {On the use of smartphones for occupational noise monitoring},
volume = {Vol. 40, No.2},
url = {http://jcaa.caa-aca.ca/index.php/jcaa/article/download/2535/2284},
abstract = {Although noise induced hearing loss represents the number one occupational disease, individual workers’ noise exposure levels are still rarely precisely known and infrequently tracked. Indeed, standardized noise exposure campaigns have as their principle disadvantages the cost of instrumentation and the difficulties associated with ease of implementation. In opposition to these procedures informal noise surveys carried out with cheaper basic sound level meters do not hold enough statistical power. This paper presents ongoing research of the {WikiLeq} project which plans to propose an alternate solution with the use of smartphones. {WikiLeq} is an open source framework for monitoring occupational noise with two simultaneous approaches: the first one features a personal full work shift dosimetric assessment, while the other features a participative sound pressure levels mapping with innovative calibration method hosted on the {WikiLeq} server. First, electroacoustic characteristics for various types of smartphones and accessories, including built-in, headset-embedded and Bluetooth® earpiece embedded microphones will be presented. The associated measurement uncertainties will then be estimated and discussed. The calibration method based on the previous measured characteristics and implemented in a {WikiLeq} Android™ “app” will be detailed with regard to measurement device uncertainty. Second, the uncertainty associated both with geo-localised noise level measurements and exposure duration will be outlined as a future work. Finally, the comparison of confidence intervals for measurements conducted with the proposed {WikiLeq} system and the ones of standardized noise measurement procedures will be highlighted for proper design of a sampling strategy adapted to the smartphone-based approach.},
booktitle = {Canadian Acoustics},
publisher = {Canadian Acoustical Association},
author = {Dumoulin, Romain and Voix, Jérémie},
year = {2012},
keywords = {Acoustic variables control, Calibration, Calibration method, Embedded device, Proceedings, Research efforts, noise pollution, occupational noise},
pages = {p. 52--53}
}
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WikiLeq is an open source framework for monitoring occupational noise with two simultaneous approaches: the first one features a personal full work shift dosimetric assessment, while the other features a participative sound pressure levels mapping with innovative calibration method hosted on the WikiLeq server. First, electroacoustic characteristics for various types of smartphones and accessories, including built-in, headset-embedded and Bluetooth® earpiece embedded microphones will be presented. The associated measurement uncertainties will then be estimated and discussed. The calibration method based on the previous measured characteristics and implemented in a WikiLeq Android™ “app” will be detailed with regard to measurement device uncertainty. Second, the uncertainty associated both with geo-localised noise level measurements and exposure duration will be outlined as a future work. 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