One of the major goals of Ambient Intelligence and Smart Environments is to interpret human activity sensed by a variety of sensors. In order to develop useful technologies and a subsequent industry around smart environments, we need to proceed in a principled manner. This paper suggests that human activity can be expressed in a language. This is a special language with its own phonemes, its own morphemes (words) and its own syntax and it can be learned using machine learning techniques applied to gargantuan amounts of data collected by sensor networks. Developing such languages will create bridges between Ambient Intelligence and other disciplines. It will also provide a hierarchical structure that can lead to a successful industry.

中文翻译：

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传感器网络的感官语法

环境智能和智能环境的主要目标之一是解释由各种传感器感知的人类活动。为了围绕智能环境开发有用的技术和后续产业，我们需要以有原则的方式进行。这篇论文表明，人类活动可以用一种语言来表达。这是一种具有自己的音素、自己的语素（词）和自己的句法的特殊语言，可以使用应用于传感器网络收集的大量数据的机器学习技术来学习。开发此类语言将在环境智能和其他学科之间架起桥梁。它还将提供可以导致成功的行业的层次结构。