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Research on Linguistic Concept Creation Method Applied to Environmental Comfort Sensors in Health Smart Home

机译:用于健康智能家居环境舒适度传感器的语言概念创建方法研究

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We endeavor to provide a novel tool to evaluate environmental comfort level in health smart home (HSH). HSH is regarded a good alternative for the independent life of elders and people with disability. Numerous intelligent devices, installed within a home environment, can provide the resident with continuous monitoring and comfortable environment. In this paper, a novel method of evaluating environmental comfort level is provided. An intelligent sensor is a fuzzy comfort sensor that can measure and fusion the environmental parameters. Based upon the results, it will further give a linguistic description about the environmental comfort level, in the manner of an expert system. The core of the sensor is multi-parameter information fusion. Similar to human behavior, the sensor makes all the evaluation about the surrounding environment''s comfort level based on the symbolic measurement theory. We applied chart representation theory in multivariate analysis in the biomedical engineering field to complete the human comfortable sensor''s linguistic concept creation. We achieved better performance when using this method to complete multi-parameter fusion and fuzziness. It is our belief that this method can be used in both biology intelligent sensing and many other areas, where the quantitative and qualitative information transform is needed
机译:我们致力于提供一种新颖的工具来评估健康智能家居(HSH)中的环境舒适度。 HSH被认为是老年人和残疾人独立生活的好选择。安装在家庭环境中的许多智能设备可以为居民提供连续的监控和舒适的环境。本文提供了一种评估环境舒适度的新方法。智能传感器是一种模糊舒适传感器,可以测量和融合环境参数。基于结果,它将以专家系统的方式进一步给出有关环境舒适度的语言描述。传感器的核心是多参数信息融合。与人类行为类似,传感器根据符号测量理论对周围环境的舒适度进行所有评估。我们将图表表示理论应用于生物医学工程领域的多元分析中,以完成人类舒适传感器语言概念的创建。使用此方法完成多参数融合和模糊性时,我们获得了更好的性能。我们相信,该方法可用于生物学智能传感和许多其他需要定量和定性信息转换的领域

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