This paper presents a comprehensive framework for studying methods of pulse rate estimation relying on remote photoplethysmography (rPPG). There has been a remarkable development of rPPG techniques in recent years, and the publication of several surveys too, yet a sound assessment of their performance has been overlooked at best, whether not undeveloped. The methodological rationale behind the framework we propose is that in order to study, develop and compare new rPPG methods in a principled and reproducible way, the following conditions should be met: 1) a structured pipeline to monitor rPPG algorithms' input, output, and main control parameters; 2) the availability and the use of multiple datasets; and 3) a sound statistical assessment of methods' performance. The proposed framework is instantiated in the form of a Python package named pyVHR (short for Python tool for Virtual Heart Rate), which is made freely available on GitHub (github.com/phuselab/pyVHR). Here, to substantiate our approach, we evaluate eight well-known rPPG methods, through extensive experiments across five public video datasets, and subsequent nonparametric statistical analysis. Surprisingly, performances achieved by the four best methods, namely POS, CHROM, PCA and SSR, are not significantly different from a statistical standpoint higighting the importance of evaluate the different approaches with a statistical assessment.
An Open Framework for Remote-PPG Methods and Their Assessment / G. Boccignone, D. Conte, V. Cuculo, A. D'Amelio, G. Grossi, R. Lanzarotti. - In: IEEE ACCESS. - ISSN 2169-3536. - 8(2020 Nov 26), pp. 9272290.216083-9272290.216103.
|Titolo:||An Open Framework for Remote-PPG Methods and Their Assessment|
BOCCIGNONE, GIUSEPPE (Primo)
GROSSI, GIULIANO (Penultimo) (Corresponding)
LANZAROTTI, RAFFAELLA (Ultimo)
|Parole Chiave:||non-parametric statistical test; pulse rate estimation; Python package; Remote photoplethysmography (rPPG); statistical analysis|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
|Progetto:||Stairway to elders: bridging space, time and emotions in their social environment for wellbeing|
|Data di pubblicazione:||26-nov-2020|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/ACCESS.2020.3040936|
|Appare nelle tipologie:||01 - Articolo su periodico|