TY - GEN
T1 - Surface EMG signals determinism analysis based on recurrence plot for hand grasps
AU - Ouyang, Gaoxiang
AU - Ju, Zhaojie
AU - Liu, Honghai
PY - 2012
Y1 - 2012
N2 - This paper proposes determinism measure (DET) based on recurrence plot, which is capable of showing the recurrence property of a deterministic dynamical system, to evaluate the dynamical characteristics of the surface electromyogram (sEMG) during three different hand movements. In addition, the linear discriminant analysis (LDA) is applied to evaluate the performance of the above measures to identify these three hand grasp movements. The experimental result shows that the recognition rate, 96.7%, based on the combination of the linear and non-linear measures is much higher than that with only linear measures, and DET might be a potential tool to reveal the sEMG hidden characteristics of hand grasp movements.
AB - This paper proposes determinism measure (DET) based on recurrence plot, which is capable of showing the recurrence property of a deterministic dynamical system, to evaluate the dynamical characteristics of the surface electromyogram (sEMG) during three different hand movements. In addition, the linear discriminant analysis (LDA) is applied to evaluate the performance of the above measures to identify these three hand grasp movements. The experimental result shows that the recognition rate, 96.7%, based on the combination of the linear and non-linear measures is much higher than that with only linear measures, and DET might be a potential tool to reveal the sEMG hidden characteristics of hand grasp movements.
KW - Determinsm
KW - hand grasp
KW - recurrence plot (RP)
KW - surface electromyogram (sEMG)
UR - https://www.scopus.com/pages/publications/84865093805
U2 - 10.1109/IJCNN.2012.6252750
DO - 10.1109/IJCNN.2012.6252750
M3 - 会议稿件
AN - SCOPUS:84865093805
SN - 9781467314909
T3 - Proceedings of the International Joint Conference on Neural Networks
BT - 2012 International Joint Conference on Neural Networks, IJCNN 2012
T2 - 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012
Y2 - 10 June 2012 through 15 June 2012
ER -