A keyhole plan recognition model for Alzheimer's patients: First results
A keyhole plan recognition model for Alzheimer's patients: First results
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DOI：
10.1080/08839510701492579
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发表时间：
2007-01-01
影响因子：
2.8
通讯作者：
Bouzouane, Abdenour
中科院分区：
文献类型：
--
作者：
Bouchard, Bruno;Giroux, Sylvain;Bouzouane, Abdenour
这篇文章解决的问题，认识到一个人的行为患有阿尔茨海默氏病在早期-中期阶段。我们提出了一个基于格理论和动作描述逻辑的钥匙孔计划识别模型，它将识别问题转化为一个分类问题。这种方法使我们能够形式化的似是而非的不连贯的患者的意图，导致他的认知障碍的症状，如定向障碍，记忆衰退等，在我们的智能家居实验室，通过模拟一组真实的情况下，这个模型的实现进行了测试。
This article addresses the problem of recognizing the behavior of a person suffering from Alzheimer's disease at early- intermediate stages. We present a keyhole plan recognition model, based on lattice theory and action description logic, which transforms the recognition problem into a classification issue. This approach allows us to formalize the plausible incoherent intentions of the patient, resulting from the symptoms of his cognitive impairment, such as disorientation, memory lapse, etc. An implementation of this model was tested in our smart home laboratory, by simulating a set of real case scenarios.