A Non Invasive Heart Rate Measurement System for Multiple People in the Presence of Motion and Varying Illumination

A Non Invasive Heart Rate Measurement System for Multiple People in the Presence of Motion and Varying Illumination

Humaira Nisar (Faculty of Engineering and Green Technology, Universiti Tunku Abdul Rahman, Kampar, Malaysia), Muhammad Burhan Khan (Faculty of Engineering and Green Technology, Universiti Tunku Abdul Rahman, Kampar, Malaysia), Wong Ting Yi (Faculty of Engineering and Green Technology, Universiti Tunku Abdul Rahman, Kampar, Malaysia), Yeap Kim Ho (Faculty of Engineering and Green Technology, Universiti Tunku Abdul Rahman, Kampar, Malaysia) and Lai Koon Chun (Faculty of Engineering and Green Technology, Universiti Tunku Abdul Rahman, Kampar, Malaysia)
DOI: 10.4018/IJDCCS.2016010101
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Abstract

A real time non-invasive heart rate (HR) measurement system for multiple people in an image has been proposed in this paper. The data has been gathered using a webcam with different distances with the subjects under varying illumination conditions. The effect of motion of the subjects on HR measurement is also observed. The data is gathered from the face and cheeks are selected as the region of interest (ROI). RGB color model is used for processing. Fast Fourier transform is used to detect the peak frequency after band pass filtering. The green channel of RGB color model gives best HR measurement. The minimum percentage error of 3.1% is achieved in the presence of slow movement and multiple persons at the relative distance of 100 cm.
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Methodology

The experimental setup for this research consists of a web camera, OMRON Blood pressure monitor and POLAR heart rate monitor with chest strap. The video was recorded at a resolution of 640 × 480 pixels and frame rate of 30 fps. It was saved in AVI format without compression. The POLAR heart rate monitor collected the data simultaneously with the video recording. The data was collected from 3 volunteers for 3 different cases. Each case was conducted on 2 different subjects. During the measurement, the distance of the subjects from the webcam was varied to see its effect on the measurement. The measurements were performed indoor with illumination sources such as fluorescent light and sunlight. The flow chart for the HR detection system is shown in the Figure 1 (Nisar et al, 2016).

Figure 1.

Flow chart of heart rate detection system

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