@InProceedings{XavierDiasPeix:2016:SoReTi,
               author = "Xavier, Maximillian Fan and Dias, Otavio Alves and Peixoto, 
                         Eduardo",
          affiliation = "Student and Student and Advisor",
                title = "Software for real time heart rate detection using a standard 
                         webcam",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Heart rate, image processing, real time processing.",
             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.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3MC9N32",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3MC9N32",
           targetfile = "SoftwareForRealTimeHeartRateDetectionUsingAStandardWebcam.pdf",
        urlaccessdate = "2024, May 03"
}