A Deep Learning Powered System to Lie Detection While Online Study

Traitement du signal, vol. 39, pp. 893–898

Abstract

Many education facilities have recently switched to online learning due to the COVID-19 pandemic. The nature of online learning makes it easier for dishonest behaviors, such as cheating or lying during lessons. We propose a new artificial intelligence - powered solution to help educators solve this rising problem for a fairer learning environment. We created a visual representation contrastive learning method with the MobileNetV2 network as the backbone to improve predictability from an unlabeled dataset which can be deployed on low power consumption devices. The experiment shows an accuracy of up to 59%, better than several previous research, proving the usability of this approach.

Authors 4

1. Lê Quang Thảo

   Vietnam National University, Hanoi · VNU University of Science

   Affiliation as printed

   Faculty of Physics , VNU University of Science , Hanoi 100000 , Vietnam

   University of Science , Vietnam National University , Hanoi 100000 , Vietnam

2. Duong Duc Cuong
3. Nguyen Nhan Nhi
   Affiliation as printed

   VNU HUS High School for the Gifted Students , Hanoi 100000 , Vietnam

   VNU HUS High School for the Gifted Students, Hanoi 100000, Vietnam

4. Nguyen Duc Tam Aachen

   FH Aachen

   Affiliation as printed

   Aachen University of Applied Sciences, Aachen 52066, North Rhine-Westphalia, Germany