Research on Non-contact Multi-person Heart Rate Measurement Method for Intelligent Education

Abstract

Obtaining the learning status information of stu-dents in class is the premise of realizing intelligent education, and heart rate (HR) is important information reflecting the learning status of students. Imaging Photoplethysmography (iPPG) is a non-contact measuring technology of physiological indicators, which is beneficial to the promotion of intelligent education. In this paper, a non-contact multi-person heart rate measurement system based on video is designed for teaching scenarios. First, the raw signal with a high signal-to-noise ratio (SNR) is obtained through a new spatial averaging method that effectively uses the HR information contained in every part of the face. Next, unde-sirable various noises in the raw signal are removed by combining the color-distortion filtering and plane-orthogonal-to-skin based method. The experimental results show that this system has high HR measurement performance while the mean absolute error, root mean squared error, and Pearson correlation coeffi-cient is 0.90 bpm, 1.7 bpm, and 0.98, respectively.