Skip to main content

Advertisement

Fig. 1 | Journal of NeuroEngineering and Rehabilitation

Fig. 1

From: Classification complexity in myoelectric pattern recognition

Fig. 1

Illustration of a two-dimensional feature space. Inset a shows the distance between two classes in a two-dimensional features space. The ellipses representing the classes are constructed according to the covariance of the two-dimensional data. The figure emphasizes the overlap of classes, which is a big challenge in pattern recognition. Inset b shows the six nearest neighbors of the marked target data point. NNS is based on the fraction of the neighbors from the same class as the target point

Back to article page