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AI / LLM

Clustering

Grouping episodes by motion characteristics and context to inspect the composition of a research corpus.

In practice

  • Human Input: motion & typing

    Prepared a corpus from seven public sources: cleaning, 19 clusters across 10 contexts and non-overlapping participant/session splits.

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Related projects

  • Human Input: motion & typing

    A generator of mouse movement and typing rhythm with natural variation. Turns a target and text into a ready-to-use sequence of actions, with an API and an interactive demo.

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