English(EN) SocioGesture: Real-Time and Adaptive Social Gesture Perception for Human-Robot Interaction

新的SocioGesture系统增强了机器人对实时社交手势的感知能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-07 04:00

研究人员开发了SocioGesture，一个新颖的系统，专为人机交互（HRI）中的实时社交手势识别而设计。该系统利用一个轻量级的双流模型，融合了身体运动和手部关节，即使在传感器数据嘈杂和部分遮挡的情况下，也能实现低延迟的板载识别。SocioGesture经过训练，能够抵抗缺失或不稳定的关键点，并通过对不确定交互片段进行离线标记来适应性地扩展其手势词汇。 AI

影响增强了机器人理解和响应人类社交线索的能力，可能带来更自然直观的人机协作。

排序理由该项目是一篇研究论文，详细介绍了用于人机交互中手势感知的新系统。 [lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Wenjin Fu, Li-Fan Wu, Jerin Peter, Chip Huyen, Boyuan Chen, Jan Liphardt · 2026-09-07 04:00

SocioGesture：面向人机交互的实时自适应社交手势感知

arXiv:2609.04545v1 Announce Type: cross Abstract: 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…

本文如何被排名

报道来源 [1]

SocioGesture：面向人机交互的实时自适应社交手势感知

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