Estimation of Finger Joint Angles from sEMG Using a Neural Network Including Time Delay Factor and Recurrent Structure
Figure 7
Results for Subject A and Motion Set 2: (a) feature vectors extracted from sEMG, (b) actual joint data from the data glove, (c) estimated results, and (d) RMS of estimated errors.
(a) The feature values of sEMG (normalized WL)
(b) Actual finger joint angles from data glove
(c) Estimated finger joint angles from sEMG information
