基于多传感器数据融合算法的智能健康监测坐椅系统设计与研究  

Design and research of intelligent health monitoring seat system based on multi-sensor data fusion algorithm

作　　者：常菁 冯锋 Chang Jing;Feng Feng(School of Information Engineering,Ningxia University,Yinchuan Ningxia,750021)

机构地区：[1]宁夏大学信息工程学院

出　　处：《电子测试》2019年第11期56-58,共3页Electronic Test

基　　金：国家自然科学基金(71561023);宁夏重点研发计划重点项目(2018BFG02003);宁夏大学生创新创业计划(2019107490780)

摘　　要：越来越多的学生由于坐姿不正确从而导致他们患有肩周炎、腰间盘突出等疾病,并且导致其他并发症的产生。利用物联网技术,本文设计了一款基于RFID和多传感器信息融合算法的智能健康监测坐椅系统。坐椅系统内置多种传感器,用于收集学生坐姿信息和体征信息,并经过多传感器数据融合算法对数据进行处理,从而实现对学生坐姿习惯的监测,提示学生端正坐姿、适度休息,注意腰椎颈椎的健康。millions of students suffer from periarthritis of shoulder, lumbar disc herniation and other complications due to incorrect sitting posture.Concept of iot technology, this paper designed a model based on RFID and multi-sensor information fusion technology of intelligent monitoring system the chair, a variety of built-in sensors to the student sitting position information, signs, etc are collected, and after multisensor data fusion algorithm of data processing, so as to realize the monitoring of the students sitting habits, prompt students correct posture, appropriate to rest, pay attention to the health of lumbar cervical vertebra.

关 键 词：物联网 RFID 多传感器信息融合 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TH789[自动化与计算机技术—控制科学与工程]