A Novel Multimodal Human-Exoskeleton Interface Based on EEG and sEMG Activity for Rehabilitation Training
Kecheng Shi,Rui Huang,Fengjun Mu,Zhinan Peng,Ke Huang,Yizhe Qin,Xiao Yang,Hong Cheng,Kecheng Shi,Rui Huang,Fengjun Mu,Zhinan Peng,Ke Huang,Yizhe Qin,Xiao Yang,Hong Cheng
Despite the advances in the field of human-robot interface (HRI) based on biological neural signal, the use of the sole electroencephalography (EEG) signal to help robotic exoskeleton predict the limb movement is currently no mature in rehabilitation training, due to its unreliability. Multimodal HRI represents a very recent solution to enhance the performance of single modal HRI. These HRI normal...
