Computer Vision with Biometric Information for Engagement Detection in Virtual Learning
The Project
As virtual learning popularized due to the pandemic, this caused students to fall behind from the inefficient evaluation of their learning. Thus, I decided to discover a solution that can effectively observe a students' learning engagement by using biometric information: Facial Expression and Heart Rate data. My project utilize Raspberry Pi 4 model B 8GB, Raspberry Pi high quality 6mm lens, MAX30102 heart rate sensor (I2C interface), and OpenCV.
About the team
Team members
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