基于MPU6050传感器的跌倒检测算法

A Fall Detection Algorithm Based on MPU6050 Sensor

及时发现老年人跌倒关系到老年人的生命安全,提出了基于SVM和SVM变异指数作为初级判断,角度数据作为辅助判断的跌倒检测算法。为了保证数据的准确性,对采集到的数据进行窗口平滑处理后用于计算SVM。并通过试验获取SVM和SVM变异指数在跌倒状态下的阈值。该方法的优势在于省去了判断过程中的积分运算,通过多级判断、角度辅助判断过滤掉其他身体姿态对跌倒判断的影响。

It is found that a timely detection of the physical falling of the elderly is an issue concerning the personal safety of the elderly. A judgement algorithm with SVM and SVM variation indices as the primary judgement, and angle data as the assistant judgement, has thus been proposed. In order to ensure the accuracy of data, the collected data are to be used for computing SVM after a processed window smoothing, thus obtaining the threshold value of SVM and SVM variation indices under falling state through experimental tests. The proposed method is characterized with such advantages as the omission of the integral operation in the process of judgment, and the flltration of the influence of other body postures on the physica falling detection by multilevel judgment and angle aided judgment.