K. Aihara, Hajime Imura, A. Takasu, Yuzuru Tanaka, J. Adachi
{"title":"Crowdsourced Mobile Sensing for Smarter City Life","authors":"K. Aihara, Hajime Imura, A. Takasu, Yuzuru Tanaka, J. Adachi","doi":"10.1109/SOCA.2014.33","DOIUrl":null,"url":null,"abstract":"This paper introduces the ongoing project that aims to develop a mobile sensing framework to collect sensor data reflecting personal-scale, or microscopic, roadside phenomena by crowd sourcing and also using social big data, such as traffic, climate, and contents of social network services like Twitter. To collect them, smartphone applications are provided. One of the typical applications is a driving recorder that collects not only sensor data, such as acceleration, gyro, compass, and speed, but also recorded videos from the driver's view. To extract specific roadside phenomena, collected data are integrated and analyzed at the service platform. The framework also provides tools for interactive analysis to support city administration.","PeriodicalId":138805,"journal":{"name":"2014 IEEE 7th International Conference on Service-Oriented Computing and Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 7th International Conference on Service-Oriented Computing and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCA.2014.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper introduces the ongoing project that aims to develop a mobile sensing framework to collect sensor data reflecting personal-scale, or microscopic, roadside phenomena by crowd sourcing and also using social big data, such as traffic, climate, and contents of social network services like Twitter. To collect them, smartphone applications are provided. One of the typical applications is a driving recorder that collects not only sensor data, such as acceleration, gyro, compass, and speed, but also recorded videos from the driver's view. To extract specific roadside phenomena, collected data are integrated and analyzed at the service platform. The framework also provides tools for interactive analysis to support city administration.
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