Offline cross-validation accuracy
The offline experiments described in this section are based on several series of EMG data captured from the authors. They provide a rational measure of the applicability by means of cross-validation accuracy. In the datasets, one training repetition consisted of 400 samples per gesture (2 s capturing with 200 Hz sample rate). In each set, each gesture was recorded in several repetitions. For each configuration of considered gestures, several sets of data were recorded; see Table Datasets used for the offline tests with overall number of sample vectors (2 s capturing at 200 Hz)The main parameter of kNN, the number of neighbours to consider (Since the cross-validation is applied block-wise, the maximum 