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人体运动稳定性边界快速识别及检测的研究
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国家自然科学基金地区科学基金项目(11462021)


Rapid Recognition and Detection of Human Motion Stability Boundary
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    摘要:

    针对人体运动稳定性边界的确认及快速识别的问题,提出一种在多因素共同影响下判断人体运动稳定性边界及快速识别的方法。建立简易人体刚体模型采集运动数据,采用ZMP作为人体运动稳定性判据,并针对受外界干扰的实际情况对其进行改进。分别研究重力、外力、惯性力对人体运动稳定性的影响,再将3种影响因素进行耦合进而达到通过检测传感器运动数据得出在多因素共同影响下的人体运动稳定性边界的目的。

    Abstract:

    Aiming at the problem of human motion stability boundary identification and fast recognition, a method for judging human motion stability boundary and fast recognition under the influence of multiple factors was proposed. A simple human rigid body model was established to collect motion data. ZMP was used as the criterion of human motion stability, and it was improved according to the actual situation of external interference. The effects of gravity, external force and inertia force on human motion stability were studied, and then the three factors were coupled to achieve the goal of obtaining the boundary of human motion stability under the joint influence of multiple factors by detecting the motion data of sensors.

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李康文,樊军.人体运动稳定性边界快速识别及检测的研究[J].机床与液压,2020,48(22):6-12.
LI Kangwen, FAN Jun. Rapid Recognition and Detection of Human Motion Stability Boundary[J]. Machine Tool & Hydraulics,2020,48(22):6-12

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  • 在线发布日期: 2021-04-22
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