构建上下文感知应用和探测空间基础设施

N. Kawanishi, Kim Seung Jinj, Hua Sit, Yoshihiro Kawaharat, Hiroyuki Morikawa
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引用次数: 7

摘要

在本文中,我们描述了一种在无处不在的计算环境中构建上下文感知应用程序的方法,在无处不在的计算环境中,我们的生活空间中嵌入了大量的传感器。来自传感器的原始数据可以用作低级上下文信息,也可以用于推断高级上下文信息。我们提出了几个使用这些上下文信息的无处不在的计算应用程序,例如名为“Synapse”的上下文感知服务平台和名为“无处不在的怪物”的面向现实世界的怪物收集游戏。此外,我们展示了我们在秋叶原建立的探测空间基础设施,用于有效地实现和评估上下文感知服务
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building Context-Aware Applications and Probe Space Infrastructure
In this paper, we describe an approach for building context-aware applications in the ubiquitous computing environment, where a huge number of sensors are embedded in our living space. The raw data from sensors can be used as low level context information, and also be used to infer higher level context information. We present several ubiquitous computing applications using these context information, such as a context-aware service platform called "Synapse" and a real-world oriented monster collection game called "Ubiquitous Monster". In addition, we show a probe space infrastructure which we have built in Akihabara for efficiently implementing and evaluating context-aware services
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