基于可穿戴方式老人跌倒预警系统的设计

Design of Old People's Wearable Fall Early Warning System

跌倒是对老人身体造成严重危害的常见原因。论文设计了一种基于可穿戴式的老人跌倒预警系统,其中三轴加速度传感器、陀螺仪用来采集跌倒过程中人体的加速度及角速度信号。系统通过阈值分析监测老人的运动行为,并将运动数据上传到PC服务器端。实验表明,该系统能对老人跌倒实现及时监测及预警。

Fall is a common cause of serious harm to the elderly. A Wearable Early warning system for Old People's Fall is designed in the paper, where Three-axis acceleration sensor and gyroscope are used to capture the body's signal of acceleration and angular velocity during the fall. The system monitors the movement behavior of the elderly through threshold analysis, and uploads the motion data to the PC server. Experiments show that this system can achieve real-time monitoring and early warning of the elderly fall.