Classifying myoelectric signals using hidden Markov model and support vector machine to process myoelectric signals, with the task of discrimination five classes of multifunction prosthesis movement.
利用隐马尔克夫模型与支持向量机相结合,对站立和行走过程中的下肢表面肌电信号进行分类,用来控制多功能假肢。
Classifying myoelectric signals using hidden Markov model and support vector machine to process myoelectric signals, with the task of discrimination five classes of multifunction prosthesis movement.
利用隐马尔克夫模型与支持向量机相结合,对站立和行走过程中的下肢表面肌电信号进行分类,用来控制多功能假肢。
应用推荐