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ID 54460
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Author
Hara, Sunao Graduate school of Natural Science and Technology, Okayama University
Kobayashi, Shota Graduate school of Natural Science and Technology, Okayama University
Abe, Masanobu Graduate school of Natural Science and Technology, Okayama University
Abstract
This paper presents a sound collection system that uses crowdsourcing to gather information for visualizing area characteristics. First, we developed a sound collection system to simultaneously collect physical sounds, their statistics, and subjective evaluations. We then conducted a sound collection experiment using the developed system on 14 participants. We collected 693,582 samples of equivalent Aweighted loudness levels and their locations, and 5,935 samples of sounds and their locations. The data also include subjective evaluations by the participants. In addition, we analyzed the changes in sound properties of some areas before and after the opening of a large-scale shopping mall in a city. Next, we implemented visualizations on the server system to attract users’ interests. Finally, we published the system, which can receive sounds from any Android smartphone user. The sound data were continuously collected and achieved a specified result.
Keywords
Environmental sound
Crowdsourcing
Loudness
Crowdedness
Smart City
Note
Copyright © 2016 IEEE. Reprinted from EEE ICME Workshop on Multimedia Mobile Cloud for Smart City Applications (MMCloudCity-2016). This material is posted here with permission of the IEEE. Permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Published Date
2016-07
Publication Title
IEEE ICME Workshop on Multimedia Mobile Cloud for Smart City Applications (MMCloudCity-2016)
Content Type
Conference Paper
language
英語
OAI-PMH Set
岡山大学
Copyright Holders
Copyright © 2016 IEEE.
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http://icme2016.org/