摘要
传统的运动合理性判断方法判断效率和判断准确度不高,为此,提出基于三维图像的运动合理性判断方法。利用三维图像人体运动模型采集人体运动数据,并以人体的新陈代谢速度和肌肉中乳酸含量为分类依据,对隐含运动损伤数据和人体合理运动数据进行分类。分类结果经由人体状态特征解析函数,解析出分类结果中的人体状态是否合法。将解析出的合法数据输入到运动合理性判断仿真模型中,利用正逆向动力学确定人体结构参数、给出运动合理性判断结果。实验结果证明,所提方法的运动仿真误差较低、判断效率和判断准确度较高。
As the judgment efficiency and the accuracy of movement rationality of the traditional judgment method are not high, a motion rationality judgment method based on 3 d image is put forward. A 3D image human motion model is used to acquire human motion data. Taking the body＇s metabolism speed and lactic acid content in his muscle as the classification basis, the implicit sport injury data and reasonable human motion data are classified. The human body state characteristic analytic func- tion is used to analyze whether the human body state in the classification results is legal. The acquired legal data is input into the simulation model of movement rationality judgment. By means of direct and inverse dynamics, the human body structural pa- rameters are determined and the motion rationality judgment result is given. The experimental results show that the proposed method has low motion simulation error, and high judgment efficiency and accuracy.
出处
《现代电子技术》
北大核心
2017年第8期22-24,共3页
Modern Electronics Technique
基金
国家自然科学基金(11426037)
关键词
三维图像
运动合理性判断
运动数据采集
仿真模型
3D image
motion rationality judgment
motion data acquisition
simulation model
