Asynchronous brain-computer interface shared control of robotic grasping
نویسندگان
چکیده
منابع مشابه
Control of a 2-DoF robotic arm using a P300-based brain-computer interface
In this study, a novel control algorithm, based on a P300-based brain-computer interface (BCI) is fully developed to control a 2-DoF robotic arm. Eight subjects including 5 men and 3 women perform a 2-dimensional target tracking in a simulated environment. Their EEG (Electroencephalography) signals from visual cortex are recorded and P300 components are extracted and evaluated to perform a real...
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A Brain-Computer Interface (BCI) allows for individuals to send commands and messages using an atypical form of communication: brain activity. Currently these devices are used by disabled individuals with afflictions of the motor-neuron system, e.g., amyotrophic lateral sclerosis. Ultimately such systems could prove beneficial to everyone by providing an additional channel of communication and ...
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Brain-Computer Interfaces (BCI) are tools that open a new channel of communication between humans and machines. The majority of human input devices for computers require proper functioning of our primary sensors and motor functions like grasping, moving and visual perception. In the case of severe motor disabilities, like amyotrophic lateral sclerosis (ALS) or spinal chord injury (SCI), these p...
متن کاملEEG Based Brain Computer Interface Hand Grasp Control: Feature Extraction Method MTCSP
Brain-Computer Interfaces (BCIs) are communication systems, which enable users to send commands to computers by using brain activity only; this activity being generally measured by Electroencephalography (EEG). BCIs are generally designed according to a pattern recognition approach, i.e., by extracting features from EEG signals, and by using a classifier to identify the user’s mental state from...
متن کاملEEG Based Brain Computer Interface Hand Grasp Control: Feature Extraction Method MTCSP
Brain-Computer Interfaces (BCIs) are communication systems, which enable users to send commands to computers by using brain activity only; this activity being generally measured by Electroencephalography (EEG). BCIs are generally designed according to a pattern recognition approach, i.e., by extracting features from EEG signals, and by using a classifier to identify the user’s mental state from...
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ژورنال
عنوان ژورنال: Tsinghua Science and Technology
سال: 2019
ISSN: 1007-0214
DOI: 10.26599/tst.2018.9010111