Mobile Based Cardiac Pulse Measurements

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Mobile Based Cardiac Pulse Measurements

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Project Description: 

In this project, we aim to implement a system that allows users to measure their cardiac pulses simply by taking a facial video. We will firstly implement the system on PC (with static camera on it) . If time permits, we will transplant the algorithm to Android mobile phones. The system is finally based on frequency analysis on the real-time facial images captured by the camera, either on PC or an Android phone.

The system modules in this project includes:
 1) Image Capturing and pre-processing 
2) Facial Recognition 
3) Independent Component Analysis 
4) Bio-information extraction 
5) Statistical Signal Processing

Image processing techniques to be used in this project includes:
 ● Feature detection 
 ● Face location [3]
 ● OpenCV face dectection [4][5] 
 ● Independent source signal decomposition using ICA (possibly using the joint approximate       diagonalization of eigenmatrices (JADE) algorithm) [6] 

Reference: 
[1]. M. Z. Poh , D. J. McDuff and R. W. Picard "Non-contact, automated cardiac pulse measurements using video imaging and blind source separation", Opt. Expr., vol. 18, pp.10762- 10774, 2010. 
[2]. Poh, M.Z., McDuff, D.J., and Picard, R.W.: “Advancements in noncontact, multi-parameter physiological measurements using a webcam”, IEEE Trans. Biomed. Eng., 2011, 58, pp. 7–11. 
[3]. A. Noulas, and B. Krıse, “EM detection of common origin of multi-modal cues,” in Proceedings of ACM Conference on Multimodal Interfaces (ACM, 2006), pp. 201–208. 
[4]. P. Viola, and M. Jones, “Rapid object detection using a boosted cascade of simple features,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2001), p. 511. [5]. R. Lienhart, and J. Maydt, “An extended set of Haar-like features for rapid object detection,” in Proceedings of IEEE Conference on Image Processing (IEEE, 2002). 
[6]. J.-F. Cardoso, “High-order contrasts for independent component analysis,” Neural Comput. 11(1), 157–192 (1999). 
[7]. J. M. Bland, and D. G. Altman, “Statistical methods for assessing agreement between two methods of clinical measurement,” Lancet 1(8476), 307–310 (1986).

FOR BASE PAPER PLEASE MAIL US AT ARNPRSTH@GMAIL.COM

DOWNLOAD PROJECT SOURCE CODE : CLICK HERE

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