Unverified50% confidenceFactExact time
EgoExplorer is a 100-hour vision-motion-tactile observation dataset built with a wearable system, focusing on occupational activity scenarios, aligning four types of signals — egocentric video, reconstructed whole-body motion, finger joint motion, and tactile observations — and providing step-level text descriptions.
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50%
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Long-term
Relevance
10/14/2026
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