GlintMarkers performs gaze-driven spatial perception on XR eyewear by extracting distance, orientation, and identity from corneal reflections of retroreflective markers using inward cameras.
Digital filter design for electrophysiological data – a practical approach
2 Pith papers cite this work. Polarity classification is still indexing.
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A modular EEG-based BCI with S4D deep learning classifier achieves 84% offline accuracy and enables real-time control for a tetraplegic user, with 73% success in post-competition validation.
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GlintMarkers: Spatial Perception on XR Eyewear using Corneal Reflections
GlintMarkers performs gaze-driven spatial perception on XR eyewear by extracting distance, orientation, and identity from corneal reflections of retroreflective markers using inward cameras.
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Improving motor imagery decoding methods for an EEG-based mobile brain-computer interface in the context of the 2024 Cybathlon
A modular EEG-based BCI with S4D deep learning classifier achieves 84% offline accuracy and enables real-time control for a tetraplegic user, with 73% success in post-competition validation.