SocioGesture: Real-Time and Adaptive Social Gesture Perception for Human-Robot Interaction
Robots interacting with people must recognize not only explicit commands, but also social cues such as invitations, refusals, and unavailability. In real deployments, these cues must be inferred from noisy onboard perception under partial occlusion, changing viewpoints, and strict latency constraints. We present SocioGesture, a real-time adaptive social gesture perception system for human-robot interaction (HRI). SocioGesture uses a compact confidence-aware body-hand skeleton representation and a lightweight dual-stream model that fuses body motion with hand articulation for low-latency onboard recognition. To improve deployment robustness, we train the model with occlusion-aware skeleton...
| Authors | Wenjin Fu, Li-Fan Wu, Jerin Peter et al. |
|---|---|
| Primary category | cs.RO |
| Published | 3 September 2026 |
| Last updated at source | 3 September 2026 |
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