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论文:智能家居中基于知识的多主体协作方法:活动识别到指导服务

2020-08-21 16:22:14
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题名:A Knowledge-Based Approach for Multiagent Collaboration in Smart Home: From Activity Recognition ...

论文:智能家居中基于知识的多主体协作方法:活动识别到指导服务

题名:A Knowledge-Based Approach for Multiagent Collaboration in Smart Home: From Activity Recognition to Guidance Service

机译:智能家居中基于知识的多主体协作方法:从活动识别到指导服务

摘要:Smart home (SH) as an emerging paradigm for alleviating the overstretched healthcare resources, and enhancing the quality of life has received increasing attention. While the remarkable progress has been made for the development of SH, it still suffers from a number of issues (e.g., device heterogeneity, composite activities recognition, and providing appropriate services). To address these issues, this paper proposes a knowledge-based approach for multiagent (MA) collaboration. Specifically, a layered architecture of SH that combines ontology and MA technologies is designed to automatically acquire semantic knowledge, and support heterogeneity and interoperability services. In such architecture, a generic inference algorithm is presented based on unordered actions and temporal property of activity for inferring both continuous composite activity and personalized service in real time. Then a novel idea is introduced for agent to learn the knowledge of human activity (HA) autonomously and translate into itself knowledge, the purpose of which is to guide agent for performing services in a way that is compatible with HA. The proposed schemes have been implemented in an SH, and evaluated through extensive experiments. The results are provided to show the feasibility, effectiveness, and robustness of our proposal.

机译:智能家庭(SH)作为缓解过度使用的医疗资源,提高生活质量的新兴范例已受到越来越多的关注。尽管SH的开发已取得了显著进展,但它仍然受到许多问题的困扰(例如,设备异质性,复合活动识别以及提供适当的服务)。为了解决这些问题,本文提出了一种基于知识的多代理(MA)协作方法。具体来说,结合了本体和MA技术的SH分层体系结构旨在自动获取语义知识,并支持异构性和互操作性服务。在这样的体系结构中,提出了一种基于无序动作和活动的时间属性的通用推理算法,用于实时地推断连续的复合活动和个性化服务。然后,引入了一种新颖的想法,供代理人自主学习人类活动(HA)知识并将其转化为自身的知识,其目的是指导代理人以与HA兼容的方式执行服务。拟议的方案已在上海实施,并通过广泛的实验进行了评估。提供的结果显示了我们提案的可行性,有效性和鲁棒性。

期刊名称:IEEE Transactions on Instrumentation and Measurement

作者单位:Shandong Univ Sch Control Sci & Engn Jinan 250061 Peoples R China

收录信息:美国《科学引文索引》(SCI);美国《工程索引》(EI)

年(卷),期:2020(69),2

年度:2020

页码:317-329

总页数:13

关键词:Monitoring; Service robots; Knowledge based systems; Collaboration; Activity recognition; Activity recognition; continuous monitoring; Internet of Things (IoT); knowledge representation; multiagent (MA) system; service robot; smart home (SH)

机译:监控;服务机器人;基于知识的系统;合作;活动识别;活动识别;持续监控;物联网(IoT);知识表示;多主体(MA)系统;服务机器人;智能家居(SH)


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