Robotic arm control system based on brain-muscle mixed signals

L Cheng, D Li, G Yu, Z Zhang, S Yu - Biomedical Signal Processing and …, 2022 - Elsevier
Aiming at the existing problems of BCI (brain computer interface), such as single input signal
source, low accuracy of feature recognition, and less output control instructions, this paper …

Robotic Arm Control System Based on Brain-Muscle Mixed Signals

LW Cheng, DL Li, GJ Yu, ZH Zhang, SY Yu - 2021 - researchsquare.com
Aiming at the existing problems of BCI (brain computer interface), such as single input signal
source, low accuracy of feature recognition, and less output control instructions, this paper …

Robotic Arm Control System Based on Brain-Muscle Mixed Signals

L Cheng, D Li, G Yu, Z Zhang, S Yu - 2021 - europepmc.org
Aim: ing at the existing problems of BCI (brain computer interface), such as single input
signal source, low accuracy of feature recognition, and less output control instructions, this …

[PDF][PDF] Robotic Arm Control System Based on Brain-Muscle Mixed Signals

LW Cheng, DL Li, GJ Yu, ZH Zhang, SY Yu - scholar.archive.org
Aiming at the existing problems of BCI (brain computer interface), such as single input signal
source, low accuracy of feature recognition, and less output control instructions, this paper …

[PDF][PDF] Robotic Arm Control System Based on Brain-Muscle Mixed Signals

LW Cheng, DL Li, GJ Yu, ZH Zhang, SY Yu - scholar.archive.org
Aiming at the existing problems of BCI (brain computer interface), such as single input signal
source, low accuracy of feature recognition, and less output control instructions, this paper …