J Zhang, M Wang - Cognitive Robotics, 2021 - Elsevier
A brain-computer interface (BCI) can provide a communication approach conveying brain information to the outside. Especially, the BCIs based on motor imagery play the important …
There is a significant progress in the development of brain-controlled mobile robots and robotic arms in the recent years. New advances in electroencephalography (EEG) …
The paper proposes a novel approach toward EEG-driven position control of a robot arm by utilizing motor imagery, P300 and error-related potentials (ErRP) to align the robot arm with …
The paper introduces an electroencephalography U+ 0028 EEG U+ 0029 driven online position control scheme for a robot arm by utilizing motor imagery to activate and error …
Brain–computer interfacing is an emerging field of research where signals extracted from the human brain are used for decision making and generation of control signals. Selection of the …
This paper proposes a novel brain-machine interfacing (BMI) paradigm for control of a multijoint redundant robot system. Here, the user would determine the direction of end-point …
A Nakra, M Duhan - International Journal of Information Technology, 2022 - Springer
EEG signals are used to capture human brain activity. EEG signals play a vital role in motor imagery applications to control hands, feet, etc. A brain computer interface (BCI) is …
Recent advances in the field of Brain-computer Interfacing (BCI) has opened wide potentials in neuro-rehabilitative applications. Electeroencephalography (EEG) is the most frequently …