传感器数据与城市：城市可视化和幸福数据的聚合
Sensor Data and the City: Urban Visualisation and Aggregation of Well-Being Data
摘要：
移动传感器技术的发展使市议会能够了解人们在城市空间中的行为，这有助于减轻城市周围的压力。我们提出了一种定量的方法来传达城市场所的集体意识。这些数据是以高粒度收集的，在一个非常受欢迎的城市环境周围的空间中导航。我们通过利用来自环境和生理传感器的连续多模型传感器数据来捕捉人们的行为。数据还标记有自我报告，位置坐标以及在不同环境中的持续时间。该方法利用了探索性的数据可视化以及几何和空间数据分析算法，允许在空间和时间上比较与人的行为有关的数据集群。推导和量化这种意义使我们能够观察移动传感如何从这些人群贡献的内容中揭示地方的情感特征。
英文摘要：
The growth of mobile sensor technologies have made it possible for city councils to understand peoples' behaviour in urban spaces which could help to reduce stress around the city. We present a quantitative approach to convey a collective sense of urban places. The data was collected at a high level of granularity, navigating the space around a highly popular urban environment. We capture people's behaviour by leveraging continuous multi-model sensor data from environmental and physiological sensors. The data is also tagged with self-report, location coordinates as well as the duration in different environments. The approach leverages an exploratory data visualisation along with geometrical and spatial data analysis algorithms, allowing spatial and temporal comparisons of data clusters in relation to people's behaviour. Deriving and quantifying such meaning allows us to observe how mobile sensing unveils the emotional characteristics of places from such crowd-contributed content.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
