利用普适传感系统分析人类行为

Maitri Vaghela, Kalyan Sasidhar
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引用次数: 2

摘要

智能手机正成为物联网(IoT)模式不可或缺的一部分,其内置的传感器生态系统为研究人类行为提供了方便的平台。例如活动监测、交通方式检测、出行行为等。所有这些例子都以这样或那样的方式连接到物联网领域,如智慧城市、智能健康等。在本文中,我们尝试使用智能手机传感器来了解校园内30天的大学生行为。学生群体越来越多地使用智能手机,这促使我们在他们的智能手机上安装一个持续传感应用程序,以了解他们的日常生活,他们的身体活动水平,他们的睡眠模式,以及他们在校园内的移动模式。我们的实证数据得到了学生定性反应的支持。这个实验的结果表明,智能手机确实可以用来提取学生的行为模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing the human behavior using pervasive sensing system
Smartphones are becoming an integral part of the Internet of Things-(IoT) paradigm with their built-in sensor ecosystem providing a convenient platform to study human behavior. Examples include activity monitoring, transportation mode detection, travel behaviour and so on. All of these examples are connected in one way or the other to the IoT domain such as smart cities, smart health and so on. In this paper, we attempt to use smartphone sensors to understand college student behaviour within a campus for 30 days. The rising use of smartphones by the student population, motivated us to install a continuous sensing application on their smartphones to understand their daily routines, their physical activity levels, their sleep patterns, and their mobility patterns within the campus. Our empirical data was supported by qualitative responses from the students. The results of this experiment showed that smartphones indeed could be utilized to extract behavioral patterns of students.
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