基于物联网的老年人摔倒检测系统的设计

Design of an IoT-Based Fall Detection System for the Elderly

老年人身体机能和反应能力下降,日常活动中极易发生摔倒,往往由于救助不及时,造成更严重的后果。针对这个问题,本文介绍了一种基于物联网的老年人摔倒检测系统,该设计利用陀螺仪传感器,通过分析反映人体姿势的加速度值和能量变化,一旦出现异常情况时,凭借物联网技术可以及时告知医院进行救治。跌倒检测器可随身佩戴,不影响老年人的日常生活;另一方面也减轻了跌倒带来的对子女和社会的压力,这对保障老年人的生命健康具有重要的意义。The decline in physical function and reflexes of the elderly is very prone to falls in daily activities, often due to the lack of timely rescue, resulting in more serious consequences. In order to solve this problem, this paper introduces a fall detection system for the elderly based on the Internet of Things, which uses a gyroscope sensor to analyze the acceleration value and energy changes of the human posture, and once there is an abnormal situation, the hospital can be informed in time for treatment with the help of the Internet of Things technology. The fall detector can be worn anywhere and does not affect the daily life of the elderly;On the other hand, it also reduces the pressure on children and society caused by falls, which is of great significance for protecting the life and health of the elderly.