中文摘要：

针对视觉系统和本体感觉对静态稳定的影响,采用三轴加速度计获取四种不同站立状态下的人体姿态数据,引入基于多尺度熵的数据分类处理方法,将多尺度熵作为人体静立姿态数据复杂性的度量,实现不同站立状态的分类.结果表明:随着尺度的增加,多尺度熵值曲线趋于平稳,并具有明显的区分度,能较好地对不同人体站立状态进行分类识别.

英文摘要：

For studying the effects of the visual system and the proprioceptive sense in human static stability,a three-axis accelerometer was used to obtain the body posture data in four different static standing conditions,and a classification method,multi-scale entropy (MSE)as the measurement of the complexity,was introduced to classify the different standing states.The results show that with the increase of scale,the curves of the MSE tend to stability and have an obvious discrimination, which can better identify the different classification of the human standing status.