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Robots use multimodal sensors for contactless respiratory monitoring

By PulseAugur Editorial · [1 sources] ·

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]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Robots use multimodal sensors for contactless respiratory monitoring

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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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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Milind Rampure, Shadman Sakib, Haley Patel, Zahid Hasan, Nirmalya Roy ·

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

    arXiv:2606.17376v1 Announce Type: cross Abstract: Respiratory-rate (RR) monitoring is a critical component of remote triage and victim assessment in emergency response, disaster recovery, and infectious-disease scenarios, where minimizing physical contact can reduce responder ris…

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