系统以FPGA作为嵌入式控制器，三轴加速度传感器采集人体跌倒姿态参数，卡尔曼滤波算法抑制噪声输出，三级阀值比较跌倒特征向量； GPS模块检测跌倒发生位置， GSM模块发送远程报警短信；手机APP实时接收报警信号，查询人体跌倒位置及时救援。经测试，系统检测精度高、稳定可靠、报警延时小、待机时间长，可广泛用于老年人摔倒检测。%In order to track the fallen person and carry out an emergency rescue, the author presents a system with a FPGA embedded controller, using three-axis acceleration sensor to collect human fall attitude parameters, Kalman filter algorithm to suppress noise out-put and three threshold to compare falls feature vector. In addition, the current information of fall positions is captured through GPS module and remote alarm messages are sent through GSM network to smart phones, in which an APP is installed for receiving real-time alarm signals. The test results show that the system has advantages of high precision, reliability, less alarm delay, longer standby time and it can be widely used in fall detection for the elderly.
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