MobGeoSen: facilitating personal geosensor data collection and visualization using mobile phones
MobGeoSen: facilitating personal geosensor data collection and visualization using mobile phones
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DOI：
10.1007/s00779-007-0180-1
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发表时间：
2008-11-01
影响因子：
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通讯作者：
Woolard, Adrain
中科院分区：
文献类型：
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作者：
Kanjo, Eiman;Benford, Steve;Woolard, Adrain
移动的感测和地图绘制应用正变得更加普遍，因为感测硬件正变得更加便携且更加可负担。然而，大多数硬件使用少量的固定传感器，这些传感器报告和共享多组环境数据，这引起了隐私问题。相反，这些系统可以分散并由个人在其公共和私人空间中进行管理。本文介绍了一个强大的系统，称为MobGeoSens，使个人能够监控他们的本地环境（如污染和温度）和他们的私人空间（如活动和健康），通过使用移动的手机在他们的日常生活。MobGeoSen是一个软件组件的组合，有助于手机的内部传感设备（例如麦克风和摄像头）和外部无线传感器（例如数据记录器和GPS接收器）进行数据收集。它还为数据收集过程增加了空间定位的新层面，并向用户提供文字和空间制图显示。在收集数据的同时，个人可以交互式地添加注释和照片，这些注释和照片会自动添加并集成到可视化文件/日志中。这使得在空间和时间可视化工具上可视化数据、照片和注释变得容易。此外，本文将介绍移动的电话可以用作噪声传感器使用的设备上的麦克风的方式。最后，我们提出了我们的经验与学童使用上述系统来衡量他们暴露于环境污染。
Mobile sensing and mapping applications are becoming more prevalent because sensing hardware is becoming more portable and more affordable. However, most of the hardware uses small numbers of fixed sensors that report and share multiple sets of environmental data which raises privacy concerns. Instead, these systems can be decentralized and managed by individuals in their public and private spaces. This paper describes a robust system called MobGeoSens which enables individuals to monitor their local environment (e.g. pollution and temperature) and their private spaces (e.g. activities and health) by using mobile phones in their day to day life. The MobGeoSen is a combination of software components that facilitates the phone's internal sensing devices (e.g. microphone and camera) and external wireless sensors (e.g. data loggers and GPS receivers) for data collection. It also adds a new dimension of spatial localization to the data collection process and provides the user with both textual and spatial cartographic displays. While collecting the data, individuals can interactively add annotations and photos which are automatically added and integrated in the visualization file/log. This makes it easy to visualize the data, photos and annotations on a spatial and temporal visualization tool. In addition, the paper will present ways in which mobile phones can be used as noise sensors using an on-device microphone. Finally, we present our experiences with school children using the above mentioned system to measure their exposure to environmental pollution.