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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Main Author: Wong, Ting Yi
Format: Final Year Project / Dissertation / Thesis
Published: 2015
Subjects:
Online Access:http://eprints.utar.edu.my/1795/
http://eprints.utar.edu.my/1795/1/Contactless_Heart_Rate_Monitor_for_Multiple_Persons_in_a_Video.pdf
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author Wong, Ting Yi
author_facet Wong, Ting Yi
author_sort Wong, Ting Yi
building UTAR Institutional Repository
collection Online Access
description 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%.
first_indexed 2025-11-15T19:23:54Z
format Final Year Project / Dissertation / Thesis
id utar-1795
institution Universiti Tunku Abdul Rahman
institution_category Local University
last_indexed 2025-11-15T19:23:54Z
publishDate 2015
recordtype eprints
repository_type Digital Repository
spelling utar-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/
spellingShingle 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
title 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_short Contactless Heart Rate Monitor for Multiple Persons in a Video
title_sort contactless heart rate monitor for multiple persons in a video
topic TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utar.edu.my/1795/
http://eprints.utar.edu.my/1795/1/Contactless_Heart_Rate_Monitor_for_Multiple_Persons_in_a_Video.pdf