Advisor: Kelilah Wolkowicz, Assistant Professor; Mechanical and Industrial Engineering, Robotics; UMass Lowell Co-Advisor: Kavitha Chandra, Assoc Dean - Undergrad Affairs, Electrical and Computer ...
Abstract: Common spatial pattern (CSP) is one of the most successful feature extraction algorithms for brain–computer interfaces (BCIs). It aims to find spatial filters that maximize the projected ...
Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease that leads to progressive muscle weakness and paralysis, ultimately resulting in the loss of ability to communicate and control the ...
Immersive virtual reality (VR) enables naturalistic neuroscientific studies while maintaining experimental control, but dynamic and interactive stimuli pose methodological challenges. We here probed ...
Common spatial pattern (CSP) method is widely used for spatial filtering and brain pattern extraction from electroencephalogram (EEG) signals in motor imagery (MI)-based brain-computer interfaces ...
Abstract: The common spatial pattern (CSP) method is a dimensionality reduction technique widely used in brain-computer interface (BCI) systems. In the two-class CSP problem, training data are ...
Common spatial pattern (CSP) has been most popularly applied to motor-imagery (MI) feature extraction for classification in brain-computer interface (BCI) application. Successful application of CSP ...
The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness depends on the ...
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