博士论坛:多模态传感器系统中人类活动学习的数据挖掘方法

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI:10.1109/ICDSC.2011.6042953

F. Vandewiele, C. Motamed

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引用次数: 1

摘要

在本文中，我们研究了在智能家居环境中使用包括摄像机在内的传感器网络监控人类活动的问题。介绍了一种从传感器数据中挖掘一种新的时间结构活动模型的无监督方法。我们提出了我们的方法的应用，以识别日常生活活动在老年人护理的背景下。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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PhD forum: A data mining approach for human activity learning in a multi-modal sensor system

In this paper, we investigate the problem of monitoring human activities using a network of sensors, including video cameras, in a smart home environment. We introduce an unsupervised method for mining a new kind of temporally structured activity models from sensor data. We present an application of our method to the recognition of activities of daily living in an elderly care context.

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2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras

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