Myoelectric control, the use of electromyogram (EMG) signals generated during muscle contractions to control a system or device, is a promising input, enabling always-available control for emerging ...

In this repository I provide a clean PyTorch model implementation of the paper "Fast multi-language LSTM-based online handwriting recognition" by Carbune et al. (2020) from Google; see this paper.

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Wearable computing platforms, such as smartwatches and head-mounted mixed reality displays, demand new input devices for high-fidelity interaction. We present AuraRing, a wearable magnetic tracking ...

Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan ...

Hidden Markov Models (HMMs) are statistical models that predict sequences of unknown variables from observed data. HMMs are applicable in various contexts, including natural language processing (NLP).