基于支持向量机的跌倒检测方法研究

跌倒是老年人常见的意外伤害事故,为了能够及时检测跌倒事件的发生,设计了一种基于三轴加速度传感器的跌倒检测装置,该装置佩戴在使用者的腰部或者腹部,用于实时检测老年人在正常活动和跌倒状态下的加速度信号,采用支持向量机(SVM)方法对加速度信号进行数据处理,判断人体是否跌倒。通过实验测试验证,该方法对跌倒行为识别具有较高的准确性和可靠性。

Research on Fall Detection Method Based on SVM

Fall is common unintentional injuries accidents to the elderly.A fall detection device based on 3-axis accelerometer is designed for detecting fall accidents timely.This device is applied to detect the signal of acceleration in daily activities state and falling state for senior citizens,which is adorned on waist or abdomen.Then,a method based on the algorithm of support vector machine is used to analyze the acceleration and perform data processing,and judge whether the human body falls.Experiment test verifies that this device has high accuracy and reliability in detecting fall.