用行走时下肢关节角度进行身份鉴别

Recognizing people by lower limb joint angles during walking

为了对运动人体进行身份识别,研究行走中下肢关节角度作为分类依据的可行性与识别率问题。用3种方法进行特征矢量的选择:1)直接采用单一关节角度的原始值作为特征矢量;2)把3个关节角度的原始值都作为特征矢量;3)按照SandroGiannini提出的方法提取18个关节角度特征参数作为特征矢量。实验结果表明,除了单独采用髋关节角度作为特征矢量进行分类的识别率较低外(55%),采用其他特征矢量提取方法进行分类均能达到比较高的识别率(>80%)。证明膝关节角度、踝关节角度或3个下肢关节角度的组合带有足够的个人信息,是可以用来进行生物识别的。

 Each person has a unigue gait, so gait classification can be used to recognize people. The three feature vectors used for gait classification were single angle data, data for a combination of three angles and 18 angle feature parameters defined by Sandro Giannini. The experimental correct classification rates were greater than 80% except when the hip angle was used as the feature vector (55%). Therefore, the results show that the knee angle, the ankle angle, or a combination of the angles provide sufficient information to distinguish different people.