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智能家居场景下的非接触式生理感知计算 被引量:1

Non-contact Physiological Technologies in Smart Home
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摘要 目的 通过对智能家居中非接触式生理感知计算技术和应用的研究现状进行梳理和分析,为生理计算与智能家居的结合提供技术和方法的支撑。方法 遵循3阶段综述方法论:第1阶段从交叉学科的视角对家居环境中交互的智能性出发,确定了综述的研究计划;第2阶段从中国知网CNKI、Webof Science、IEEE、ACM、ScienceDirect等核心文献库中检索智能家居、生理计算相关关键词获取相关文献,并通过相关文献引用网络进一步扩展综述的文献集合;第3阶段通过文献研读与主题归纳总结了可应用于智能家居场景的常见生理信号与非接触式感知技术。结论 非接触生理感知计算技术有广泛的应用前景,将非接触生理感知计算技术与智能家居结合能够扩展家居系统的人机交互维度,对智能家居的舒适度、交互体验、健康管理、安全隐私等方面带来提升。 This research aims to provide technical and methodological support for the combination of physiological computing and smart home by sorting out and analyzing the research status of non-contact physiological sensing comput-ing technology and application in the smart home.The review followed a three-stage review methodology,relevant details are as following:In the planning stage,from an interdisciplinary perspective,this paper defined the research plan of the review on the intelligence of interaction in the home environment.In the conducting stage,keywords related to smart home and physiological computing were retrieved from CNKI,Web of Science,IEEE,ACM,ScienceDirect and other core literature libraries,and the literature collection was further expanded through relevant literature reference networks.In the reporting stage,the final review report was formed by combing and summarizing common physiological signals and non-contact sensing technologies that could be applied to smart home scenarios through literature research and theme in-duction.In conclusion,non-contact physiological computing technology has a broad application prospect.The combina-tion of non-contact physiological perception computing technology and smart home can expand the human-computer in-teraction dimension of the home system to improve the comfort,interactive experience,health management,security,and privacy of the smart home.
作者 龚江涛 初梦迪 李金 郭凯敏 宗柯宇 舒心 周谷越 聂再清 GONG Jiang-tao;CHU Meng-di;LI Jin;GUO Kai-min;ZONG Ke-yu;SHU Xin;ZHOU Gu-yue;NIE Zai-qing(Institute for AI Industry Research,Tsinghua University,Beijing 100084,China)
出处 《包装工程》 CAS 北大核心 2022年第16期10-26,I0007,I0008,共19页 Packaging Engineering
基金 国家自然科学基金(62172252)。
关键词 非接触生理感知 生理计算 智能家居 non-contact physiological perception physiological computing smart home
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