NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping

被引:0
|
作者
Eiman Kanjo
机构
[1] University of Cambridge,Computer Laboratory
来源
关键词
noise mapping; pervasive sensing; mobile computing; online mapping; pollution monitoring; ubiquitous computing.;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:562 / 574
页数:12
相关论文
共 50 条
  • [1] NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping
    Kanjo, Eiman
    [J]. MOBILE NETWORKS & APPLICATIONS, 2010, 15 (04): : 562 - 574
  • [2] A Mobile Platform for Real-time Continuous Monitoring
    Chander, Ajay
    Braun, Albert
    Balakrishnan, Rajalakshmi
    Gilman, Alex
    Stergiou, Stergios
    Marvit, Dave
    [J]. FUJITSU SCIENTIFIC & TECHNICAL JOURNAL, 2014, 50 (01): : 84 - 92
  • [3] Real-time ECG telemonitoring system design with mobile phone platform
    Wen, Cheng
    Yeh, Ming-Feng
    Chang, Kuang-Chlung
    Lee, Ren-Guey
    [J]. MEASUREMENT, 2008, 41 (04) : 463 - 470
  • [4] Research on the Traffic Simulation Platform Based on the Real-time Mobile Phone Data
    Qi, Geqi
    Wu, Jianping
    Du, Yiman
    [J]. SUSTAINABLE DEVELOPMENT OF URBAN INFRASTRUCTURE, PTS 1-3, 2013, 253-255 : 1365 - 1368
  • [5] Mapping the urban environment using real-time physiological monitoring
    Dritsa, Dimitra
    Biloria, Nimish
    [J]. ARCHNET-IJAR INTERNATIONAL JOURNAL OF ARCHITECTURAL RESEARCH, 2021, 15 (03): : 467 - 486
  • [6] Mobile Unsupervised Platform for Real-Time Ocean Water Quality Monitoring
    Ayaz, Muhammad
    Aggoune, El-Hadi M.
    Ammad-uddin, Mohammad
    [J]. CONTROL ENGINEERING AND APPLIED INFORMATICS, 2019, 21 (01): : 79 - 88
  • [7] Collaborative Real-Time Mobile Mapping
    Pisarovic, Ivo
    Prochazka, David
    Landa, Jaromir
    Kolomaznik, Jan
    Zidek, Karel
    Franek, Lukas
    [J]. ENTERPRISE AND COMPETITIVE ENVIRONMENT, 2017, : 694 - 701
  • [8] Real-Time Monitoring and Forecast of Active Population Density Using Mobile Phone Data
    Li, Qi
    Xu, Bin
    Ma, Yukun
    Chung, Tonglee
    [J]. BIG DATA TECHNOLOGY AND APPLICATIONS, 2016, 590 : 116 - 129
  • [9] Real-time analogue gauge transcription on mobile phone
    Howells, Ben
    Charles, James
    Cipolla, Roberto
    [J]. 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021, 2021, : 2369 - 2377
  • [10] Real-Time Walk Light Detection with a Mobile Phone
    Ivanchenko, Volodymyr
    Coughlan, James
    Shen, Huiying
    [J]. COMPUTERS HELPING PEOPLE WITH SPECIAL NEEDS, PROCEEDINGS, PT 2, 2010, 6180 : 229 - 234