基于加速度传感器的运动步数检测算法研究  

Research of Motion Step Detection Algorithm Based on Acceleration Sensor

作　　者：魏芬[1] 邓海琴[1] 

机构地区：[1]南京航空航天大学金城学院教学实验中心,南京211156

出　　处：《电子器件》2016年第5期1175-1179,共5页Chinese Journal of Electron Devices

摘　　要：为解决人体运动过程中手腕摆动对步数检测干扰的影响,提出了一种区域峰值步数检测算法。该算法根据人体运动时的加速度信号特征,使用高斯滤波去除噪声对加速度信号的影响,基于三轴合加速度数据采用区域峰值检测方法判定有效步伐,同时利用提取的加速度信号幅值的变化量作为特征值,准确实现了稳定状态下的跑步、走路两种动作的自动识别,并根据人体不同的运动状态自动调整采样速率,有效降低了系统功耗。实验结果表明,区域峰值算法相比于动态阀值和单一峰值的算法具有更高的步数检测精确度,可达到95%以上。A new area peak step detection algorithm was presented to decrease the interference of wrist swing to thestep detection in the human motion. It was based on the characteristics of the acceleration signal of human motion,us-ing Gaussian filter to cut down the noise effect on acceleration signal,and applying area peak detection to determinethe effective step on the basis of the data of triaxial resultant acceleration. Besides,the variation of the amplitude ofthe acceleration signal was used as the eigenvalue,making realization of the automatic recognition of steady-statewalk and run as well as the automatic adjustment of the sampling rate on various motional state,effectively reducingpower dissipation. The experimental results show that,compared with dynamic threshold algorithm and single peakalgorithm,the area peak step detection algorithm has highly precision in step detection,up to more than 95%.

关 键 词：传感器应用 步数检测 信号矢量幅值 区域峰值检测 加速度传感器 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]