电波科学学报2026，Vol.41Issue(1)：155-162,8.DOI:10.12265/j.cjors.2025141
基于可重构智能超表面的智能家居健康监测系统
A health monitoring system for smart home based on reconfigurable intelligent surface
摘要
Abstract
To overcome the limitations of traditional reconfigurable intelligent surface(RIS),which rely on predefined coding patterns and lack environmental adaptability,this paper proposes a RIS-based health monitoring system,which is empowered by a large language model(LLM)and can be applied for smart home applications.Using the LLM as its central decision-making unit,the system decomposes natural language instructions into subtasks through prompt engineering.The proposed system integrates a YOLOv7-Pose estimation network with a Kalman filter algorithm for real-time human thoracic localization.Based on the obtained coordinates,the system dynamically optimizes the RIS codebook to achieve precise electromagnetic wave focusing.Finally,the improved variational mode decomposition algorithm is used to extract respiratory rates from the echo signals and the system controls the smart home devices based on the measured respiratory rate,and sends an alarm message via WeChat.Experimental results demonstrate an average Euclidean positioning error of 0.095 m for the human thoracic region,an average LLM instruction decomposition success rate of 97.1%,and a mean absolute error of 2.31 RPM for respiratory rate monitoring.The system establishes a closed-loop framework from perception to response,enabling natural language-driven adaptive electromagnetic control.This approach offers a novel contactless health monitoring solution for smart healthcare and smart homes.关键词
可重构智能超表面(RIS)/大语言模型(LLM)/非接触感知/呼吸速率监测/智能家居控制Key words
reconfigurable intelligent surface(RIS)/large language model(LLM)/non-contact perception/breathing rate detection/smart home control分类
信息技术与安全科学引用本文复制引用
李邵恺,黄柘伟,李新羽,游检卫..基于可重构智能超表面的智能家居健康监测系统[J].电波科学学报,2026,41(1):155-162,8.基金项目
国家自然科学基金(62301149,62101124,62288101) （62301149,62101124,62288101）
江苏省自然科学基金(BK20230820)National Natural Science Foundation of China(623114,62101124,62288101) （BK20230820）
Natural Science Foundation of Jiangsu Province(BK20230820) （BK20230820）
