Robots use multimodal sensors for contactless respiratory monitoring

Researchers have developed a new framework for contactless respiratory rate monitoring using heterogeneous mobile robots equipped with edge computing capabilities. This system adapts to various lighting conditions and subject postures by intelligently selecting from RGB, thermal, near-infrared, and low-light cameras. Experiments show the framework can generalize across different robotic platforms without needing platform-specific adjustments, with RGB cameras effective up to 8 meters and low-light sensing also reaching 8 meters in complete darkness. AI

RANK_REASON The cluster contains a research paper published on arXiv detailing a new technical framework. [lever_c_demoted from research: ic=1 ai=0.4]

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