Computer Science > Computer Vision and Pattern Recognition
arXiv:2305.04161 (cs)
[Submitted on 7 May 2023 (v1), last revised 4 Nov 2024 (this version, v3)]
Title:Camera-Based HRV Prediction for Remote Learning Environments
Authors:Kegang Wang,Yantao Wei,Jiankai Tang,Yuntao Wang,Mingwen Tong,Jie Gao,Yujian Ma,Zhongjin Zhao
View a PDF of the paper titled Camera-Based HRV Prediction for Remote Learning Environments, by Kegang Wang and 7 other authors
View PDFHTML (experimental)Abstract:In recent years, due to the widespread use of internet videos, remote photoplethysmography (rPPG) has gained more and more attention in the fields of affective computing. Restoring blood volume pulse (BVP) signals from facial videos is a challenging task that involves a series of preprocessing, image algorithms, and postprocessing to restore waveforms. Not only is the heart rate metric utilized for affective computing, but the heart rate variability (HRV) metric is even more significant. The challenge in obtaining HRV indices through rPPG lies in the necessity for algorithms to precisely predict the BVP peak positions. In this paper, we collected the Remote Learning Affect and Physiology (RLAP) dataset, which includes over 32 hours of highly synchronized video and labels from 58 subjects. This is a public dataset whose BVP labels have been meticulously designed to better suit the training of HRV models. Using the RLAP dataset, we trained a new model called Seq-rPPG, it is a model based on one-dimensional convolution, and experimental results reveal that this structure is more suitable for handling HRV tasks, which outperformed all other baselines in HRV performance and also demonstrated significant advantages in computational efficiency.
| Subjects: | Computer Vision and Pattern Recognition (cs.CV) |
| Cite as: | arXiv:2305.04161 [cs.CV] |
| (orarXiv:2305.04161v3 [cs.CV] for this version) | |
| https://doi.org/10.48550/arXiv.2305.04161 arXiv-issued DOI via DataCite |
Submission history
From: Kegang Wang [view email][v1] Sun, 7 May 2023 02:26:00 UTC (348 KB)
[v2] Sun, 3 Sep 2023 16:27:11 UTC (482 KB)
[v3] Mon, 4 Nov 2024 02:52:56 UTC (2,768 KB)
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View a PDF of the paper titled Camera-Based HRV Prediction for Remote Learning Environments, by Kegang Wang and 7 other authors
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