Facial Tracking in Thermal Images for Real-Time Noncontact Respiration Rate Monitoring

A Review on Different Technical Specifications of Respiratory Rate Monitors

“…Monitor involves tracking a facial region of interest (ROI) associated with respiration in thermal images [5]. A new Scheme of Respiration Rate Monitor uses a MEMS based capacitive nasal sensor system for measuring Respiration Rate (RR).…”

“…The skin surface area centered on the tip of the nose [ fig -7] was specified by a circle that covered the region affected by respiration process. Signal processing and Feature extraction methods were applied to this region to compute the respiration rate [5]. FLIR A40 thermal camera is used to record the thermal images.…”

“…The position of ROI on the tip of the nose [5] When the subject's face was extricated from the picture foundation, the remaining range was uprooted. A scanning operation was carried out inside the selected boundary.…”

Development of A Respiration Rate Meter - A Low-Cost Design Approach

“…The major function of the human respiratory system is to supply an adequate amount of oxygen to the human body to produce energy and maintain a proper acid-base balance by removing carbon dioxide from it. The respiration rate monitoring is very much significant in medical monitoring system as it plays an important role in assessing a variety of illnesses [6,7].…”

“…In their design of respiration rate meter, Vasu et al and Choi et al used radio frequency sensors [15,16], whereas Miwa and Sakai [17] proposed the use of body sound for the development of a heart rate and respiration measurement system. Implementation of optical methods, ultrasonic proximity sensor, impedance plethysmography, ECG signal (via wavelet), facial tracking method and real-time vision based system are also studied by Scalise et al [18], Min et al [19], Ansari et al [20], Santo and Carbajal [21], Khalidi et al [6] and Tan et al [1] respectively regarding the measurement of respiration rate. Recent studies on respiration rate monitoring using capacitive textile force sensors, stepped-FM method, empirical mode decomposition method and laser Doppler vibrometry have also been carried out by Hoffmann et al [22], Otsu et al [23], Madhav et al [24] and Scalise et al [25].…”