Author

Y. Meena

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#artificial intelligence Preprint Aug 2026

A Hybrid Gaze-Motor Imagery BCI Framework for Effective Decision Communication

Non-invasive brain-computer interfaces (BCIs) and eye-tracking technologies offer promising communication pathways; however, motor imagery (MI)-based BCIs often suffer from low discriminability and high inter-subject variability. To mitigate these issues, this study investigates the impact of visual fixation on neural...

N. GowthamReddy, KongFatt Wong-Lin, Y. Meena · 0 citations

Jul 2026

EEGForceFusion: Joint Tokenised-Continuous Representation Learning for Subject-Independent Grasp Force Decoding

Brain-machine interfaces provide a link between neural activity and external devices, enabling restoration of motor function and advancing human-machine interaction using non-invasive electroencephalography (EEG). However, continuous grasp force decoding remains challenging due to complex temporal dynamics, high inter-...

Sankalp Sunil Turankar, Y. Meena · arXiv.org · 0 citations