This paper proposes a new rPPG scheme using a convolutional neural network (CNN) to map the pulse accumulated image to corresponding true heart rate value, ...
Request PDF | On Jun 1, 2019, Senle Zhang and others published A feasibility study of a video-based heart rate estimation method with convolutional neural ...
A feasibility study of a video-based heart rate estimation method with ...
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A feasibility study of a video-based heart rate estimation method with convolutional neural networks. S. Zhang, R. Song, J. Cheng, Y. Zhang, and X. Chen.
A novel two-step convolutional neural network is proposed to estimate a heart rate from a sequence of facial images to test the robustness of heart rate ...
In this article, we propose a new rPPG method with convolutional neural networks (CNNs) to build a mapping between a spatiotemporal HR feature image to its ...
This technique measures heart activ- ity without any physical contact. In recent years, there has been emerging a growing number of studies dedicated to remote ...
The proposed approach utilizes the ability of CNN to visualize patterns. Proposed approach yields better results in terms of estimation of HR on four benchmark ...
Missing: feasibility | Show results with:feasibility
In this paper, we present a learning-based framework for HR estimation. The proposed framework is based on the deep neural network (DNN). For the ...
Missing: video- | Show results with:video-
Oct 1, 2020 · This article proposes a new rPPG method with convolutional neural networks (CNNs) to build a mapping between a spatiotemporal HR feature ...
A feasibility study of a video-based heart rate estimation method with convolutional neural networks. Senle Zhang, Rencheng Song, Juan Cheng, Yunfei Zhang ...