Author

Abdul Basit

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#artificial intelligence Preprint Sep 2026

ThinkNet: Compact Architecture Selection and Validation-Gated Ensembles for Subject-Independent MI-EEG Decoding

Practical assistive and rehabilitative brain--computer interfaces require subject-independent motor-imagery EEG (MI-EEG) decoders that generalize to new users under limited target-user data and constrained compute. However, held-out-subject performance can be overstated when test-subject information influences preproce...

Abdul Basit, S. Rehman, Muhammad Shafique · 0 citations

#artificial intelligence Preprint Sep 2026

EEG-Fusion: Failure-Informed Source-Free Expert Routing for Robust Motor Imagery EEG Decoding

Subject-independent motor-imagery (MI) EEG decoding can exhibit subject-level failures even when average performance appears acceptable: under subject shift, a decoder can become an overconfident near-one-class predictor. This is especially problematic in source-free deployment, where target-user labels are unavailable...

Abdul Basit, S. Rehman, Muhammad Shafique · 0 citations

Open access 2026

NeuroVisionArm: Gaze-EEG Hybrid Control for Assistive Robotic Prosthetics

Supporting fine motor interaction with upper-limb prostheses demands an interface intended to be intuitive, low-latency, and robust to user and signal variability. This challenge is particularly acute when EMG signals are unreliable, as in conditions such as ALS or high cervical SCI, where EEG-based BCIs offer a potent...

Abdul Basit, Azaz-Ur-Rehman Nasir, Mathew Obsequio Ponon et al. · IEEE Access · 0 citations