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17. Appearance-Invariant Detection of Suggestive Motion via Laban Movement Descriptors
DescriptionWe present a privacy-preserving moderation pipeline that flags suggestive motion in online virtual environments from body movement alone -- no pixels, clothing, or body shape -- by classifying interpretable Laban Movement Analysis descriptors computed from 3D skeletons, matching a fine-tuned deep video model on the same appearance-free motion while computationally confirming choreographic theory's prediction that suggestiveness is carried by indirect use of space.
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Poster
TimeSunday, 19 July 20269:00am - 5:30pm PDT
LocationWest Hall Lobby
Session TimeSunday, 19 July 20269:00am - 5:30pm PDTMonday, 20 July 20269:00am - 5:30pm PDTTuesday, 21 July 20269:00am - 5:30pm PDTWednesday, 22 July 20269:00am - 5:30pm PDTThursday, 23 July 20269:00am - 5:30pm PDT
LocationWest Hall Lobby
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