Investigating the use of multi-label classification methods for the purpose of classifying electromyographic signals
The type of pattern recognition methods used for controlling modern prosthetics, referred to here as single-label classification methods, restricts users to a small amount of movements. One prominent reason for this is that the accuracy of these classification methods decreases as the number of allowed movements is increased. In this work a possible solution to this problem is presented by looking
