PUMA publications for /user/jaeschke/noise%20sensinghttps://puma.uni-kassel.de/user/jaeschke/noise%20sensingPUMA RSS feed for /user/jaeschke/noise%20sensing2024-03-30T02:32:23+01:00Participatory noise pollution monitoring using mobile phoneshttps://puma.uni-kassel.de/bibtex/24dbb1ce355b7249bc2f66ed4b2126bab/jaeschkejaeschke2012-12-14T11:38:57+01:00collective intelligence mobile monitor noise participation phone pollution sensing social stair <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nicolas Maisonneuve" itemprop="url" href="/author/Nicolas%20Maisonneuve"><span itemprop="name">N. Maisonneuve</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Matthias Stevens" itemprop="url" href="/author/Matthias%20Stevens"><span itemprop="name">M. Stevens</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bartek Ochab" itemprop="url" href="/author/Bartek%20Ochab"><span itemprop="name">B. Ochab</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Information Polity</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">15 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">51--71</span></em> </span>(<em><span>Januar 2010<meta content="Januar 2010" itemprop="datePublished"/></span></em>)Fri Dec 14 11:38:57 CET 2012Information Polityjan151--71Participatory noise pollution monitoring using mobile phones152010collective intelligence mobile monitor noise participation phone pollution sensing social stair Noise pollution is a major problem in cities around the world. The current methods to assess it neglect to represent the real exposure experienced by the citizens themselves, and therefore could lead to wrong conclusions and a biased representations. In this paper we present a novel approach to monitor noise pollution involving the general public. Using their mobile phones as noise sensors, we provide a low cost solution for the citizens to measure their personal exposure to noise in their everyday environment and participate in the creation of collective noise maps by sharing their geo-localized and annotated measurements with the community. Our prototype, called NoiseTube, can be found online [1].NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mappinghttps://puma.uni-kassel.de/bibtex/2387ebc6472794f598d07256a45f3d9b7/jaeschkejaeschke2012-12-14T11:36:33+01:00collective intelligence mobile monitor noise noisespy phone pollution real-time sensing social stair urban <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Eiman Kanjo" itemprop="url" href="/author/Eiman%20Kanjo"><span itemprop="name">E. Kanjo</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Mobile Networks and Applications</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">15 </span></span>(<span itemprop="issueNumber">4</span>):
<span itemprop="pagination">562--574</span></em> </span>(<em><span>August 2010<meta content="August 2010" itemprop="datePublished"/></span></em>)Fri Dec 14 11:36:33 CET 2012Hingham, MA, USAMobile Networks and Applicationsaug4562--574NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping152010collective intelligence mobile monitor noise noisespy phone pollution real-time sensing social stair urban In this paper we present the design, implementation, evaluation, and user experiences of the NoiseSpy application, our sound sensing system that turns the mobile phone into a low-cost data logger for monitoring environmental noise. It allows users to explore a city area while collaboratively visualizing noise levels in real-time. The software combines the sound levels with GPS data in order to generate a map of sound levels that were encountered during a journey. We report early findings from the trials which have been carried out by cycling couriers who were given Nokia mobile phones equipped with the NoiseSpy software to collect noise data around Cambridge city. Indications are that, not only is the functionality of this personal environmental sensing tool engaging for users, but aspects such as personalization of data, contextual information, and reflection upon both the data and its collection, are important factors in obtaining and retaining their interest.