AIMC Topic: Brain-Computer Interfaces

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Improving The Performance of Motor Imagery Based Brain-Computer Interface Using Phase Space Reconstruction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
In recent decades, motor imagery (MI) based brain-computer interface (BCI) is served as a control system or rehabilitation tool for motor disabled people. But it has limited applications because of its lower classification performance (classification...
Imagination Support Vector Machine Electroencephalography Brain-Computer Interfaces Humans Algorithms
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Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The reliable classification of Electroencephalography (EEG) signals is a crucial step towards making EEG-controlled non-invasive neuro-exoskeleton rehabilitation a practical reality. EEG signals collected during motor imagery tasks have been proposed...
Electroencephalography Brain-Computer Interfaces Imagination Movement Neural Networks, Computer Humans Machine Learning
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SLES: A Novel CNN-based Method for Sensor Reduction in P300 Speller.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
A Brain Computer Interface (BCI) character speller allows human-beings to directly spell characters using eye-gazes, thereby building communication between the human brain and a computer. Current popular BCI character speller systems employ a large n...
Humans Event-Related Potentials, P300 Self-Help Devices Fixation, Ocular Language Electroencephalography Neural Networks, Computer Brain-Computer Interfaces Algorithms
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Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Brain-computer interface (BCI) is an important tool for rehabilitation and control of an external device (e.g., robot arm or home appliances). Fully reconstruction of upper limb movement from brain signals is one of the critical issues for intuitive ...
Movement Forearm Humans Imagination Robotics Rotation Electroencephalography Brain-Computer Interfaces Hand
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Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The time between the onset of subsequent auditory or visual stimuli - also known as stimulus onset asynchrony (SOA) - determines many of the event-related potential characteristics of the resulting evoked brain signals. Specifically, the SOA value in...
Data Interpretation, Statistical Electroencephalography Brain-Computer Interfaces Brain Decision Making Photic Stimulation Evoked Potentials Humans Machine Learning
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Detection of Stressful Situations Using GSR While Driving a BCI-controlled Wheelchair.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
This paper analyzes the galvanic skin response (GSR) recorded from healthy and motor disabled people while steering a robotic wheelchair (RobChair ISR-UC prototype), to infer whether GSR can help in the recognition of stressful situations. Seven heal...
Humans User-Computer Interface Robotics Galvanic Skin Response Brain-Computer Interfaces Wheelchairs
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Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph.

Chaos (Woodbury, N.Y.) Jul 1, 2019
The steady state motion visual evoked potential (SSMVEP)-based brain computer interface (BCI), which incorporates the motion perception capabilities of the human visual system to alleviate the negative effects caused by strong visual stimulation from...
Evoked Potentials, Visual Photic Stimulation Brain Support Vector Machine Humans Electroencephalography Brain-Computer Interfaces Models, Neurological
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[Brain-Machine Interface and Neuro-Rehabilitation].

Brain and nerve = Shinkei kenkyu no shinpo Jul 1, 2019
Brain-Machine Interface (BMI) is a technology that enables users to control computers/machines intuitively via their volitional brain activities. Controlling robotic arms and tablet PCs, assisting the movement of paretic limbs through robotic action/...
Humans Brain Neuronal Plasticity Electric Stimulation Robotics Movement Brain-Computer Interfaces Rehabilitation
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Designing a brain computer interface for control of an assistive robotic manipulator using steady state visually evoked potentials.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
An assistive robotic manipulator (ARM) can provide independence and improve the quality of life for patients suffering from tetraplegia. However, to properly control such device to a satisfactory level without any motor functions requires a very high...
Brain-Computer Interfaces Evoked Potentials, Visual Humans Robotics Quality of Life Electroencephalography
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Computers turn neural signals into speech.

Science (New York, N.Y.) Jan 4, 2019
Speech Epilepsy Brain-Computer Interfaces Computers Humans Brain Neoplasms Neural Networks, Computer
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