一种基于加速度信息的上肢动作识别研究方法  

A Research Method of Human Upper Limb Motion Recognition Based on Acceleration Signal

作　　者：洪俊[1] 赵子恺[1] 

机构地区：[1]中国计量学院电工与电子技术研究所,浙江杭州310018

出　　处：《机床与液压》2014年第15期50-53,共4页Machine Tool & Hydraulics

摘　　要：提出一种基于GM阈值的二叉判决分析法,应用于人体上肢动作的分类识别研究。选用MEMS三轴加速度传感器ADXL345,设计一套人体动作的加速度采集系统。自定义上肢动作进行实验,采集人体执行上肢动作时的三维加速度信号后,进行小波阈值去噪的预处理过程,提取上肢动作的几何均值GM(Geometric Mean)作为特征值进行阈值的选取。实验结果表明:结合小波分析理论方法,基于GM阈值的方法实现了人体上肢动作的分类识别,并验证了系统设计及理论算法的简便性、高效性,对基于加速度传感器的动作识别研究具有一定的参考价值。A new method of binary decision analysis based GM threshold was proposed,applying to the research on recognition of human upper limb motion.The human motion acceleration acquisition system was designed,based on selection of the MEMS triaxial acceleration sensor ADXL345 .Through defined types of actions to do experiments,after obtained the three dimensional （3-D）acceler-ation signal of the body to perform upper limb actions,first the wavelet threshold denoising was preprocessed,extracting the Geometric Mean （GM）of upper limb actions as feature to select threshold.The experimental results show that,combined with wavelet analysis theory,this method based on GM threshold achieves the recognition of the type of action of the human upper limb,and validates the simplicity and efficiency of the system design and the theoretical algorithms,which has some reference value to research on human mo-tion recognition based on acceleration sensor.

关 键 词：上肢动作识别 三轴加速度传感器 小波变换 GM特征值 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]