Assessing the effect of transfer learning on myoelectric control systems with three electrode positions

A motion recognition module integrated into the myoelectric control system learns the parameters of the classifier using training data recorded during multiple days. However, such module will experience troubles (decreases in recognition accuracy) in daily life because the electrode position of the operation day is slightly different from past days. This paper aims to adjust model parameters using transfer learning and assess its performance....