Contactless Heart Rate Monitor for Multiple Persons in a Video
In this project, we have proposed an algorithm to develop a contactless Heart Rate Monitor using video for multiple people. The video is acquired at a rate of 30 fps with the resolution of 640x480. Firstly, the Viola Jones face detector will be used for face detection purposed. After that, the regio...
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2015
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Online Access: | http://eprints.utar.edu.my/1795/1/Contactless_Heart_Rate_Monitor_for_Multiple_Persons_in_a_Video.pdf http://eprints.utar.edu.my/1795/ |
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my-utar-eprints.17952019-08-15T10:44:55Z Contactless Heart Rate Monitor for Multiple Persons in a Video Wong, Ting Yi TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering In this project, we have proposed an algorithm to develop a contactless Heart Rate Monitor using video for multiple people. The video is acquired at a rate of 30 fps with the resolution of 640x480. Firstly, the Viola Jones face detector will be used for face detection purposed. After that, the regions of interest (cheeks) are detected with the coordinate geometry algorithm. Then 3 color traces are obtained for every image by applying mean on every single color plane. Fast Fourier Transform will be applied to these traces and peak frequency will be detected after band pass filtering. The conversion between frequencies to bpm will be done. It has been seen that green channel of RGB color modal given the best result for heart rate. The accuracy of heart rate detection for single person is 7.5% and the multiple persons is 11.3%. 2015-09-21 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/1795/1/Contactless_Heart_Rate_Monitor_for_Multiple_Persons_in_a_Video.pdf Wong, Ting Yi (2015) Contactless Heart Rate Monitor for Multiple Persons in a Video. Final Year Project, UTAR. http://eprints.utar.edu.my/1795/ |
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TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Wong, Ting Yi Contactless Heart Rate Monitor for Multiple Persons in a Video |
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In this project, we have proposed an algorithm to develop a contactless Heart Rate Monitor using video for multiple people. The video is acquired at a rate of 30 fps with the resolution of 640x480. Firstly, the Viola Jones face detector will be used for face detection purposed. After that, the regions of interest (cheeks) are detected with the coordinate geometry algorithm. Then 3 color traces are obtained for every image by applying mean on every single color plane. Fast Fourier Transform will be applied to these traces and peak frequency will be detected after band pass filtering. The conversion between frequencies to bpm will be done. It has been seen that green channel of RGB color modal given the best result for heart rate. The accuracy of heart rate detection for single person is 7.5% and the multiple persons is 11.3%. |
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Final Year Project / Dissertation / Thesis |
author |
Wong, Ting Yi |
author_facet |
Wong, Ting Yi |
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Wong, Ting Yi |
title |
Contactless Heart Rate Monitor for Multiple Persons in a Video |
title_short |
Contactless Heart Rate Monitor for Multiple Persons in a Video |
title_full |
Contactless Heart Rate Monitor for Multiple Persons in a Video |
title_fullStr |
Contactless Heart Rate Monitor for Multiple Persons in a Video |
title_full_unstemmed |
Contactless Heart Rate Monitor for Multiple Persons in a Video |
title_sort |
contactless heart rate monitor for multiple persons in a video |
publishDate |
2015 |
url |
http://eprints.utar.edu.my/1795/1/Contactless_Heart_Rate_Monitor_for_Multiple_Persons_in_a_Video.pdf http://eprints.utar.edu.my/1795/ |
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13.211869 |