Human-behaviour study with situation lattices
Human-behaviour study with situation lattices
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使用情境格的人类行为研究
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
S. Dobson
中科院分区：
文献类型：
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作者：
Juan Ye;S. Dobson
智能环境领域的大多数研究都集中在提高人类活动识别的准确性上。对于设计师如何深入了解其系统所观察到的行为，并将这些见解反馈到改进系统设计中，人们进行的研究相对较少。我们描述了一个数学结构，情况格，并展示了它如何可以用来发现有关活动的知识，以及它们可以被感知的方式。我们展示了如何使用这些知识来提高活动识别，使用现实世界的智能家居数据集的例子。
Most research in the area of smart environments focuses on improving the accuracy with which human activities can be recognised. Relatively little research has been done into how designers can gain insights into the behaviours their systems are observing, and feed these insights back into improving systems design. We describe a mathematical structure, the situation lattice, and show how it can be used to discover knowledge about activities and the way in which they can be sensed. We show how this knowledge can be used to improve activity recognition, using the example of a real-world smart home data set.