Performance evaluation of rPPG approaches with and without the region-of-interest localization step

Žan Pirnar (Author), Miha Finžgar (Author), Primož Podržaj (Author)

Abstract

Traditionally, the first step in physiological measurements based on remote photoplethysmography (rPPG) is localizing the region of interest (ROI) that contains a desired pulsatile information. Recently, approaches that do not require this step have been proposed. The purpose of this study was to evaluate the performance of selected approaches with and without ROI localization step in rPPG signal extraction. The Viola-Jones face detector and Kanade-Lucas-Tomasi tracker (VK) in combination with (a) a region-of-interest (ROI) cropping, (b) facial landmarks, (c) skin-color segmentation, and (d) skin detection based on maximization of mutual information and an approach without ROI localization step (Full Video Pulse (FVP)) were studied. Final rPPG signals were extracted using selected model-based and data-driven rPPG algorithms. The performance of the approaches was tested on three publicly available data sets offering compressed and uncompressed video recordings covering various scenarios. The success rates of pulse waveform signal extraction range from 88.37% (VK with skin-color segmentation) to 100% (FVP). In challenging scenarios (skin tone, lighting conditions, exercise), there were no statistically significant differences between the studied approaches in terms of SNR. The best overall performance in terms of RMSE was achieved by a combination of VK with ROI cropping and the model-based rPPG algorithm. Results indicate that the selection of the ROI localization approach does not significantly affect rPPG measurements if combined with a robust algorithm for rPPG signal extraction.

Keywords

brezkontaktna fotopletizmografija;spremljanje vitalnih znakov;računalniška obdelava slik;remote photoplethysmography;vital signs monitoring;remote sensing;

Data

Language:	English
Year of publishing:	2021
Typology:	1.01 - Original Scientific Article
Organization:	UL FS - Faculty of Mechanical Engineering
UDC:	004.932:616-07(045)
COBISS:	60569859
ISSN:	2076-3417
Parent publication:	Applied sciences
Views:	241
Downloads:	124
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	brezkontaktna fotopletizmografija;spremljanje vitalnih znakov;računalniška obdelava slik;
Type (COBISS):	Article
Pages:	str. 1-17
Volume:	ǂVol. ǂ11
Issue:	ǂiss. ǂ8
Chronology:	Apr. 2021
DOI:	10.3390/app11083467
ID:	12801968