Contactless Respiratory Monitoring on Heterogeneous Mobile Robots: A Multimodal Edge-Computing Framework
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