A transformer that decodes swipes across a smartphone keyboard into words (gesture / swipe / glide typing) (enhanced yandex cup solution)
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Updated
Sep 4, 2025 - Jupyter Notebook
A transformer that decodes swipes across a smartphone keyboard into words (gesture / swipe / glide typing) (enhanced yandex cup solution)
Given a dictionary containing 10000 words, implementation SHARK2 algorithm (as in research paper: http://pokristensson.com/pubs/KristenssonZhaiUIST2004.pdf) to decode a user input gesture and output the best decoded word.
MessagEase-inspired SwiftUI keyboard for iOS with compose rules, return swipes, and fat-finger friendly gestures.
IndicSwipe is a collection of datasets and neural model architectures for decoding swipe gesture inputs on touch-based Indic language keyboards across 7 languages.
Android library that enables keyboards (IME) to support neural network-powered swipe typing
Keyboard demonstration that uses a neural network from neuroswipe project (https://github.com/proshian/neuroswipe) to decode swipes into words
🤖 Build a Transformer-based gesture recognition system with PyTorch, ONNX, and Gradio for real-time video analysis and efficient inference.
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