Decoding of Walking Imagery and Idle State Using Sparse Representation Based on fNIRS
Table 1
Average classification accuracy (%) obtained by cdSRC, SVM, KNN, LDA, and LR under different features and their combinations of HbO signals during walking imagery and idle state (binary classification) of 15 subjects.