Fehaid Alqahtani
ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems
Alqahtani, Fehaid; Katsigiannis, Stamos; Ramzan, Naeem
Citation
Alqahtani, F., Katsigiannis, S., & Ramzan, N. (2019). ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems. . https://doi.org/10.1109/ucet.2019.8881872
| Presentation Conference Type | Conference Paper (Published) |
|---|---|
| Conference Name | 4th International Conference on UK/China Emerging Technologies (UCET) |
| Publication Date | 2019 |
| Deposit Date | Sep 15, 2020 |
| Publisher | Institute of Electrical and Electronics Engineers |
| DOI | https://doi.org/10.1109/ucet.2019.8881872 |
| Public URL | https://durham-repository.worktribe.com/output/1140525 |
You might also like
Comparative Study of Face Tracking Algorithms for Remote Photoplethysmography
(2024)
Presentation / Conference Contribution
Towards Automatic Tutoring of Custom Student-Stated Math Word Problems
(2023)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search