Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain

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• 关键词：Photoplethysmography (PPG) ; remote Photoplethysmography (rPPG) ; Camera ; Webcam ; k ; nearest neighbor ; Neural network ; Gaussian distribution
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9896
• 期：1
• 页码：324-334
• 全文大小：854 KB
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• 作者单位：Viktor Kessler (17)
  Markus Kächele (17)
  Sascha Meudt (17)
  Friedhelm Schwenker (17)
  Günther Palm (17)
  
  17. Institute of Neural Information Processing, Ulm University, Ulm, Germany
  
• 丛书名：Artificial Neural Networks in Pattern Recognition
• ISBN：978-3-319-46182-3
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9896

文摘

Measuring bio signals such as the heart rate in non medical applications is gaining an increasing importance. With camera based photoplethysmography (PPG) it is possible to measure the heart rate remotely with built in webcams of every tablet and laptop. Recent research with machine learning based methods showed great success compared to signal processing based methods. In this paper, we use k-nearest neighbor (kNN) and multilayer perceptron (MLP) with an alternative representation of the input vector. Estimating the quality of peaks with a Gaussian distribution could further improve the detection. Overall we could improve the root mean square error (RMSE) from 23.97 to 8.62.