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		<citationkey>XavierDiasPeix:2016:SoReTi</citationkey>
		<title>Software for real time heart rate detection using a standard webcam</title>
		<format>On-line</format>
		<year>2016</year>
		<numberoffiles>1</numberoffiles>
		<size>874 KiB</size>
		<author>Xavier, Maximillian Fan,</author>
		<author>Dias, Otavio Alves,</author>
		<author>Peixoto, Eduardo,</author>
		<affiliation>Student</affiliation>
		<affiliation>Student</affiliation>
		<affiliation>Advisor</affiliation>
		<editor>Aliaga, Daniel G.,</editor>
		<editor>Davis, Larry S.,</editor>
		<editor>Farias, Ricardo C.,</editor>
		<editor>Fernandes, Leandro A. F.,</editor>
		<editor>Gibson, Stuart J.,</editor>
		<editor>Giraldi, Gilson A.,</editor>
		<editor>Gois, João Paulo,</editor>
		<editor>Maciel, Anderson,</editor>
		<editor>Menotti, David,</editor>
		<editor>Miranda, Paulo A. V.,</editor>
		<editor>Musse, Soraia,</editor>
		<editor>Namikawa, Laercio,</editor>
		<editor>Pamplona, Mauricio,</editor>
		<editor>Papa, João Paulo,</editor>
		<editor>Santos, Jefersson dos,</editor>
		<editor>Schwartz, William Robson,</editor>
		<editor>Thomaz, Carlos E.,</editor>
		<e-mailaddress>maximillianfx@gmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)</conferencename>
		<conferencelocation>São José dos Campos, SP, Brazil</conferencelocation>
		<date>4-7 Oct. 2016</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Undergraduate Work</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>Heart rate, image processing, real time processing.</keywords>
		<abstract>Heart rate measurement is a valuable information in the description of an individuals condition. In some cases, measuring it without the need of physical contact is advisable. This work proposes a method capable of estimating a subjects heart rate using a standard camera based on subtle color variations on the skin caused by blood flow. This is a simple and low cost procedure with large applicability in many areas such as lie detection, medicine and surveillance. The proposed method is based on an established framework of face detection, filtering and peak detection in the FFT domain, adding to it a novel decision algorithm to make the heart rate estimation based on the past history of the FFT signal, its source code can be found in the teams GitHub repository. Results are good, within 5 bpm of the correct heart rate.</abstract>
		<language>en</language>
		<targetfile>SoftwareForRealTimeHeartRateDetectionUsingAStandardWebcam.pdf</targetfile>
		<usergroup>maximillianfx@gmail.com</usergroup>
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