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

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。

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

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.