Tracking Activities in Complex Settings Using Smart Environment Technologies.
Tracking Activities in Complex Settings Using Smart Environment Technologies.
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发表时间：
2009
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通讯作者：
Geetika Singla;D. Cook;M. Schmitter-Edgecombe
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作者：
Geetika Singla;D. Cook;M. Schmitter-Edgecombe
智能家居中普遍存在的传感技术为在家中独立生活遇到困难的个人提供健康监测和帮助提供了前所未有的机会。为了满足这一需求，需要解决的一个主要挑战是识别和跟踪人们在自己家中和日常环境中进行的功能活动的能力。在本文中，我们探讨了对日常生活活动进行实时识别的方法。我们加强其他相关的研究工作，以开发有效的方法时，活动中断和交错。为了评估我们的识别算法的准确性，我们使用从我们的校园智能公寓测试平台中执行活动的参与者收集的真实的数据来评估它们。
The pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals experiencing difficulties living independently at home. A primary challenge that needs to be tackled to meet this need is the ability to recognize and track functional activities that people perform in their own homes and everyday settings. In this paper we look at approaches to perform real-time recognition of Activities of Daily Living. We enhance other related research efforts to develop approaches that are effective when activities are interrupted and interleaved. To evaluate the accuracy of our recognition algorithms we assess them using real data collected from participants performing activities in our on-campus smart apartment testbed.