Non-invasive EEG-based brain-computer interfaces (BCI) for handwriting imagery can support the restoration of fine writing abilities in individuals with motor impairments. However, the development of ...

A lot of people ask me, what’s the roadmap to become an AI engineer? It’s not just about finishing a few ML courses, it’s about mastering the fundamentals, applying them in real projects, and building ...

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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The digitalization of traditional Palmyra manuscripts, such as Lontar, is the government’s main focus in efforts to preserve Balinese culture. Digitization is done by acquiring Lontar manuscripts ...

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).