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HEMA practitioner builds AI dataset for tracking sword fighting

By PulseAugur Editorial · [1 sources] ·

A historical swordfighter is developing an open dataset to address AI's challenges in tracking fast, complex movements like those in HEMA (Historical European Martial Arts). The dataset will feature high-speed, multi-view video clips of sword fighting, annotated with detailed metadata including timestamps, biomechanics, and computer vision hazards. The creator is seeking feedback from the AI research community on the proposed data schema to ensure its utility for testing embodied AI, particularly in areas like trajectory prediction and pose estimation. AI

IMPACT This dataset could improve AI's ability to track complex, high-speed movements, potentially benefiting robotics and embodied AI applications.

RANK_REASON The item describes the creation of a new dataset for AI research, focusing on a niche area of computer vision. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

HEMA practitioner builds AI dataset for tracking sword fighting

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The item describes the creation of a new dataset for AI research, focusing on a niche area of computer vision. [lever_c_demoted from research: ic=1 ai=1.0]
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  1. r/MachineLearning TIER_1 English(EN) · /u/fonssagrives ·

    I do historical swordfighting and noticed AI struggles to track it. I’m building an open dataset to help fix this. Does my schema make sense? [P]

    <!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I’m a historical swordfighter (HEMA practitioner), and while I’m not a computer vision engineer or a roboticist, I’ve been reading a lot about the current bottlenecks in embodied AI, specifically around the Sim2Real gap and th…

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