Abstract
The advancement of computer technology allows students to interact with Artificial Intelligence (AI) through smart classrooms. Smart classroom is one of the latest technology enhanced learning (TEL) which allows the classroom and students to interact during the learning process. Currently, smart classrooms are believed to change current dull teaching methods and enhance the students’ learning experience. Therefore, the proposed paper is a comprehensive study of applying artificial intelligence features to an intelligent classroom system (a.k.a virtual classroom system) that provides face detection and hand gestures through e-learning classrooms. Artificial intelligence features will be implemented and compared on three machines with varying hardware specifications. According to the results of this study, Tensorflow Handpose provides more accuracy than MediaPipe Hands, although it requires higher hardware specifications. Face-api.js also outperforms TensorFlow and MediaPipe when it comes to executing face detection functions. According to this study, the present face and hand APIs can be adopted in smart classroom systems.
Keywords: Virtual Classroom, Google Meet, Face Detection, Hand Gesture Detection, Object Recognition
Authors
Lim Kah Yee [1] ; Joan Hau [2] ; Tew Yiqi [3]
[1][2][3] Faculty of Computing and Information Technology, Tunku Abdul Rahman University of Management and Technology, Kuala Lumpur, Malaysia
[3] yiqi@tarc.edu.my
Cite Me
Plain Text:
K.Y.Lim, H.Joan, Y.Tew, "Computer Performance Evaluation for Virtual Classroom with Artificial Intelligence Features," International Conference on Digital Transformation and Applications (ICDXA) 2021, 2021, pp. 85-94, doi: https://doi.org/10.56453/icdxa.2021.1008.
BibTex:
@INPROCEEDINGS{ICDXA202108,
author={Lim, Kah Yee and Joan, Hau and Tew, Yiqi},
booktitle={International Conference on Digital Transformation and Applications (ICDXA) 2021},
title={Computer Performance Evaluation for Virtual Classroom with Artificial Intelligence Features},
year={2021},
volume={},
number={},
pages={85-94},
doi={https://doi.org/10.56453/icdxa.2021.1008}}
