Neural swipe decoder trained with geometric augmentations on 1M+ swipes generalizes to unseen keyboard layouts by predicting per-point character locations and mapping via inference-time layout.
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Pith papers citing it
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cs.HC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A user study maps intuitive starting/ending regions and shapes for non-axial and angular off-device swipes to support earable interaction.
citing papers explorer
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FUTO Swipe: Layout-Agnostic Neural Swipe Decoding
Neural swipe decoder trained with geometric augmentations on 1M+ swipes generalizes to unseen keyboard layouts by predicting per-point character locations and mapping via inference-time layout.
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Exploring Above-neck Unimanual Swipe Gestures for Off-Device Earable Interaction
A user study maps intuitive starting/ending regions and shapes for non-axial and angular off-device swipes to support earable interaction.