摘要
研究下肢疾病人体摇摆步态的准确建模问题。摇摆步态是下肢疾病患者行走时重要的步态特征,这种步态特征虽然带有一定的规律性,但是这种规律导致特征对应呈现凌乱性。传统的基于视觉图像建立的摇摆步态模型,没有考虑这种疾病人体步态特征的凌乱问题,以牺牲误差为代价,导致摇摆步态识别度较低。为此,提出一种考虑病态人体动力学的凌乱摇摆步态建模方法,将病态患者的步态特征视作多刚体连接系统,利用人体动力学原理建立动力学模型,得到摇摆步态的肢体特征;对摇摆步态的周期性进行分析,建立病态脚步模型并确定行走时的脚步方位,得到摇摆步态的脚步特征。实验结果表明,该方法建立的模型能够快速准确地识别摇摆步态特征,误差较小,识别率更高。
The accurate modeling for swaying gait of the human body with disease of lower limbs is studied. Swaying gait is an important gait characteristic when the patient walks with diseased lower limbs. The gait characteristic has some rules, however, these rules may lead to messy of corresponding characteristics. Traditional established swa- ying gait model based on visual image did not consider the messy problem of this kind of patient＇s gait, which is to ex- pense of the error and leads to a lower recognition degree of swaying gait. To this end, a modeling method for mess swaying gait with considering of morbidity human dynamics is proposed. The gait characteristic of the patients is looked as a multi-rigid-body connection system. The theory of human body dynamics is used to establish the dynamic model to get the characteristics of limbs and trunk of swaying gait. The periodicity of swaying gait is analyzed, the model of morbidity footstep is established, and-the orientation of the morbidity footstep is determined, so as to the footstep characteristics of swaying gait are obtained. The experimental results show that the established model by using this method can accurately identify the swaying gait characteristics, the error is less and the recognition rate is higher than the traditional model.
出处
《计算机仿真》
CSCD
北大核心
2014年第7期274-277,282,共5页
Computer Simulation
关键词
摇摆步态
下肢疾病
动力学模型
步态特性
Swaying gait
Lower limb diseases
Dynamic model
Gait characteristics
