
Ð’ работе приведены результаты иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð² облаÑти Ð¿Ñ€Ð¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð´Ð¸Ñтанционной фотоплетизмографии. Реализован алгоритм вычиÑÐ»ÐµÐ½Ð¸Ñ Ð¿ÑƒÐ»ÑŒÑа человека Ñ Ð¿Ð¾Ð¼Ð¾Ñ‰ÑŒÑŽ оптичеÑкой камеры. Ð”Ð»Ñ Ñбора данных иÑпользовалиÑÑŒ веб-камера ноутбука, запиÑÑ‹Ð²Ð°ÑŽÑ‰Ð°Ñ Ð½Ð° видео человека, а также пульÑокÑиметр на оÑнове Arduino Ñ Ð´Ð°Ñ‚Ñ‡Ð¸ÐºÐ¾Ð¼ MAX30102. ОтÑлеживание лица проиÑходило Ñ Ð¿Ð¾Ð¼Ð¾Ñ‰ÑŒÑŽ метода Виола-ДжонÑа, а Ð´Ð»Ñ Ñ„Ð¸Ð»ÑŒÑ‚Ñ€Ð°Ñ†Ð¸Ð¸ Ñигнала применÑлоÑÑŒ БыÑтрое преобразование Фурье. СиÑтема дала выÑокую точноÑть при хорошем оÑвещении, при плохом оÑвещении погрешноÑть доходила до 20%.
The work presents the results of research in the field of remote photoplethysmography (rPPG). An algorithm for calculating a person's pulse using an optical camera is implemented. A laptop webcam was used to collect data, recording a person on video, as well as an Arduino-based pulse oximeter with a MAX30102 sensor. Face tracking was performed with the help of the Viola-Jones method, and a Fast Fourier transform was used to filter the signal. The system provided high accuracy in good lighting, with poor lighting the error could reach up to 20%.
cameras, remote photoplethysmography, камеÑÑ, диÑÑанÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑоÑоплеÑизмагÑоÑиÑ, пÑлÑÑ, пÑогÑамма Matlab, Matlab program, pulse
cameras, remote photoplethysmography, камеÑÑ, диÑÑанÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑоÑоплеÑизмагÑоÑиÑ, пÑлÑÑ, пÑогÑамма Matlab, Matlab program, pulse
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