COMP7310 Video PPG Project

Our project centers on Remote Photoplethysmography(rPPG), an economical method for extracting physiologicalparameters, specifically heart rate, through facial video analysis. The primary objectives of our endeavor are to acquire skills in extracting heart rate from facial videos, harnessingInternet of Things (IoT) data to retrieve video data, establishing wireless links for IoT device connectivity to servers, implementing Message Queuing Telemetry Transport (MQTT)for effective IoT data communication, mastering proper datavisualization techniques, and developing expertise in systemevaluation and performance analysis. Through these pursuits,our project aims to advance our understanding of practicalapplications in physiological parameter monitoring, particularly within the context of real-world scenarios and IoT integration.

My part is coding the Tkinter GUI part and connect data linking with the ESP32 via MQTT and use OpenCV to calculate the heart beat data and plot on the table.

This is a group project, and the project report is not available for public viewing. Part of code is available in the GitHub repository.