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arXiv Computer Vision By Wenjin Fu, Li-Fan Wu, Jerin Peter, Chip Huyen, Boyuan Chen, Jan Liphardt

SocioGesture: Real-Time and Adaptive Social Gesture Perception for Human-Robot Interaction

Read the original on arXiv Computer Vision →

SocioGesture is a real‑time, adaptive system for recognizing social gestures in human‑robot interaction. It employs a compact, confidence‑aware body‑hand skeleton representation and a lightweight dual‑stream model that fuses body motion with hand articulation, enabling low‑latency onboard recognition. The model is trained with occlusion‑aware skeleton corruption to handle missing hands, occluded arms, and unstable keypoints, and it can expand its gesture vocabulary during deployment by saving uncertain interaction segments for offline labeling.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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