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引用次数: 2
摘要
通过观察对系统的行为进行建模是理解现象的第一步。然后,该模型为模拟开辟了道路,以再现真实系统的行为,并灵活地修改,调整和发挥各种场景。在本文中,我们提出了一个健康智能家居中老年人活动的模拟器使用HMM“隐马尔可夫模型”。这个模拟器旨在模拟独立生活的老年人失去自主性的影响。我们测试了几种相关方法来评估真实数据和模拟数据之间的相似性。实验数据在法国国家“AILISA”项目框架下的HIS“Habitat Intelligent pour la sant”中获得。
Correlation between real and simulated data of the activity of the elderly person living independently in a Health Smart Home
Modeling the behavior of a system from observation is the first step in understanding a phenomenon. The model then opens the way to simulation in order to reproduce the behavior of the real system with the flexibility to modify, adjust and play with various scenarios. In this paper, we present a simulator of the activity of elderly persons in a Health Smart Home using the HMM “Hidden Markov Model”. This simulator aims at modeling the effects of the loss of autonomy for the elderly living independently. We test several correlation methods to evaluate the similarity between real and simulated data. The experimental data was obtained in the HIS “Habitat Intelligent pour la Santé” within the framework of the French national “AILISA” project.