Open AccessHREmo: A measurement system of students’ studying state in online group class based on rPPG technology
Author(s) -
Keyu Zhai,
Xueming Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1976/1/012068
Subject(s) - computer science , class (philosophy) , workload , ignorance , wearable computer , heartbeat , quality (philosophy) , artificial intelligence , human–computer interaction , machine learning , mathematics education , psychology , computer security , embedded system , philosophy , epistemology , operating system
The CONVID-19 Pandemic has broken the traditional teaching method, but ignorance of students’ feedback made many teachers feel the teaching quality was degraded. Although some researchers have proposed that whether students are attentive or dozing off by analysing student expressions, head corners, and eye postures, But it is difficult to adapt to the situation where students frequently lower their heads to take notes in actual situation. Therefore, this paper proposes a heart rate acquisition and analysis system HREmo based on remote photoplethysmography technology(rPPG). The time and frequency domain characteristics of the heart rate variability signal are further analysed through the heartbeat interval obtained by the pulse waveform. It has multiple advantages such as bases on objective indicators, calculates in fast speed and low cost. The recognition error of heart rate is within 1%, and it has accurate trend prediction for students’ concentration and mental workload. Furthermore, this article takes a group class as an example to describe in detail how to put HREmo in the teacher panel to help teachers provide students with more personalized status reminders.