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Integrating RGB-Thermal image sensors for non-contact automatic respiration rate monitoring

JOSA A
  • Fatema-Tuz-Zohra Khanam, Asanka Pereraa, Ali Al-Naji, Timothy D. McIntyre, and Javaan Chahl
  • received 02/01/2024; accepted 04/23/2024; posted 04/24/2024; Doc. ID 520757
  • Abstract: Respiration rate (RR) holds significance as a human health indicator. Presently,conventional RR monitoring system requires direct physical contact, which may causediscomfort and pain. Therefore, this paper proposes a non-contact RR monitoring systemintegrating RGB and thermal imaging through RGB-thermal image alignment. Theproposed method employs an advanced image processing algorithm for automatic regionof interest (ROI) selection. The experimental results demonstrated a close correlation and alower error rate between measured thermal, measured RGB and reference data. In summary,the proposed non-contact system emerges as a promising alternative to conventionalcontact-based approaches without the associated discomfort and pain.