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

被引：1

作者：

Khanam, Fatema-Tuz-Zohra ^{[1
]}

Perera, Asanka G. ^{[2
]}

Al-Naji, Ali ^{[1
,3
]}

McIntyre, Timothy D. ^{[1
,4
]}

Chahl, Javaan ^{[1
,4
]}

机构：

[1] Univ South Australia, STEM, Mawson Lakes Campus, Mawson Lakes, SA 5095, Australia

[2] Univ Southern Queensland, Sch Engn, Brisbane, Qld 4300, Australia

[3] Middle Tech Univ, Elect Engn Tech Coll, Baghdad 10022, Iraq

[4] Def Sci & Technol Grp, Platforms Div, Edinburgh, SA 5111, Australia

来源：

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION | 2024年 / 41卷 / 06期

关键词：

HEART-RATE; INFRARED THERMOGRAPHY; EXTRACTION; SYSTEM;

D O I：

10.1364/JOSAA.520757

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Respiration rate (RR) holds significance as a human health indicator. Presently, the conventional RR monitoring system requires direct physical contact, which may cause discomfort and pain. Therefore, this paper proposes a non-contact RR monitoring system integrating RGB and thermal imaging through RGB-thermal image alignment. The proposed method employs an advanced image processing algorithm for automatic region of interest (ROI) selection. The experimental results demonstrated a close correlation and a lower error rate between measured thermal, measured RGB, and reference data. In summary, the proposed non-contact system emerges as a promising alternative to conventional contact-based approaches without the associated discomfort and pain. (c) 2024 Optica Publishing Group

引用

页码：1140 / 1151

页数：12