Our work proposes a novel BCI system that consists of controlling a robot arm based on the user's thought.
Dec 14, 2016 · In this study, we found that a group of 13 human subjects could willingly modulate brain activity to control a robotic arm with high accuracy.
Feb 27, 2014 · Using an electroencephalograph (EEG) to detect neurological activity permits the collection of data representing brain signals without the need ...
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Noninvasive Electroencephalogram Based Control of a Robotic Arm for ...
pubmed.ncbi.nlm.nih.gov › ...
Our proposed hybrid noninvasive EEG-EMG-BCI was robust and efficient for real-time multidimensional robotic arm control.
Missing: machine controlling
This paper presents a review of the state-of-the-art of the latest papers dealing with the control of a robotic arm based on Electroencephalogram (EEG). A ...
This paper presents a Brain Machine Interface (BMI) system based on using the brain electroencephalography (EEG) signals associated with 3 arm movements.
This BCI-based study shows how to actuate a robotic arm with the help of device commands derived from EEG signals. We have used an emotive headset to acquire ...
Nov 21, 2019 · In this study, we propose a novel hybrid BCI with high accuracy based on electroencephalogram (EEG) and electrooculogram (EOG) to control an integrated ...
The proposed Brain Machine Interface (BMI) system based on using the brain electroencephalography signals associated with 3 arm movements for controlling a ...
In order to control a robotic arm, this study introduces the Brain Machine Interface (BMI) system, which is based on exploiting the brain electroencephalography ...