Fuzzy multi-agent assistance system for elderly care based on user engagement

IF 1.8 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Ambient Intelligence and Smart Environments Pub Date : 2022-05-11 DOI:10.3233/ais-210312

A. R. Domínguez, Carlos Lino Ramírez, David Asael Gutiérrez Hernández, Héctor José Puga Soberanes, V. Zamudio

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引用次数: 0

Abstract

An intelligent system intended to provide assistance to an elderly user in their home is presented. This multi-agent system is designed to monitor the interaction between the user and other agents, and regulate itself based on the estimated level of mental engagement of the user in order to contribute to help them maintain adequate levels of awareness and interaction with their home environment. The agents are devices programmed to preserve the security, comfort and health of the user, who is also conceptualized as one of the agents in the system. The user engagement level is estimated through fuzzy inference, that is, by means of a set of fuzzy membership functions and rules applied over the interaction of the user with different categories of agents. The system incorporates several dozen agents and is tested using two different datasets of real interactions between users and devices in their home environments. A uniform parameter configuration yielded very positive results for diverse scenarios and subsequently the parameters of the system were automatically optimized to show that improved performance, in the form of a more efficient system regulation and increased certainty in adjustment estimation, is obtained.

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基于用户参与的模糊多智能体养老辅助系统

提出了一种智能系统，旨在为家中的老年用户提供帮助。这个多智能体系统被设计用来监控用户和其他智能体之间的交互，并根据用户的估计心理参与水平来调节自己，以帮助他们保持足够的意识水平和与家庭环境的交互。代理是被编程来保护用户的安全、舒适和健康的设备，用户也被概念化为系统中的代理之一。用户参与水平通过模糊推理来估计，即通过一组模糊隶属函数和规则应用于用户与不同类别的代理的交互。该系统包含几十个代理，并使用用户和设备在家庭环境中真实交互的两种不同数据集进行测试。统一的参数配置对不同的场景产生了非常积极的结果，随后系统的参数被自动优化，以显示性能的改善，以更有效的系统调节和调整估计的确定性增加的形式获得。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

4.30

自引率

17.60%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.