CAJ | 학술논문

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ME MS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。
제출일충기우GM역치적이차판결분석법，응용우인체상지동작적분류식별연구。선용ME MS삼축가속도전감기ADXL345，설계일투인체동작적가속도채집계통。자정의상지동작진행실험，채집인체집행상지동작시적삼유가속도신호후，진행소파역치거조적예처리과정，제취상지동작적궤하균치GM （Geometric Mean）작위특정치진행역치적선취。실험결과표명：결합소파분석이론방법，기우GM역치적방법실현료인체상지동작적분류식별，병험증료계통설계급이론산법적간편성、고효성，대기우가속도전감기적동작식별연구구유일정적삼고개치。
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.