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利用无线信号的自然衰减,在不显著增加通信开销的基础上,提出了一种新的老年人跌倒行为的检测方法.给出阶段相关性这一概念并用以区分体域传感器网络节点与室内传感器网络节点信号在人运动与静止条件下的统计相关性.给出了最小通信决策集合的概念,通过对比最小通信决策集合的内容,提出了老年人位置估计方法和跌倒行为检测算法;利用仿真工具分析了该方法的通信开销.用Micaz节点实现了集中式检测方法并进行了实验,结果证明本方案具有较高的检测准确性.
Based on the natural attenuation of wireless signals, a new detection method of the fall behavior of the elderly is proposed, which does not increase the communication overhead significantly. The concept of phase correlation is given and used to distinguish between the sensor node and the indoor sensor The statistical correlation of network node signal under human motion and stationary condition is given. The concept of minimum communication decision set is given. By comparing the content of minimum communication decision set, the algorithm of location estimation and fall behavior detection is proposed. The communication overhead of this method is analyzed, a centralized detection method is implemented with Micaz nodes and experiments are carried out. The results show that the proposed scheme has high detection accuracy.