论文标题
个人数据流的上下文模型
A Context Model for Personal Data Streams
论文作者
论文摘要
我们提出了一个人的情境环境模型，并展示了如何将其用于组织，因此，关于大量传感器数据和注释的原因，因为可以从移动设备中收集它们，例如智能手机，智能手表或健身追踪器。提议的模型在一个非常大的数据集中得到了验证，每天二十八个星期，每天二十四个小时，关于一百五十八个人的日常生活。
We propose a model of the situational context of a person and show how it can be used to organize and, consequently, reason about massive streams of sensor data and annotations, as they can be collected from mobile devices, e.g. smartphones, smartwatches or fitness trackers. The proposed model is validated on a very large dataset about the everyday life of one hundred and fifty-eight people over four weeks, twenty-four hours a day.
