Abstract
The project described in this paper investigates the idea of performing emotion analysis of a student population participating in active face-To-face classroom instruction. Machine learning algorithms are employed on live recordings collected by webcams that are installed in classrooms. The visualization application required to be remotely accessible by the lecturer so the application was engineered as a web application. The output, being a timeline of student emotions monitored throughout and in parallel with the lecture, serves to enable the lecturer and other interested parties to improve the delivery of education.
Original language | English |
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Title of host publication | Proceedings of 2018 IEEE Global Engineering Education Conference |
Subtitle of host publication | Emerging Trends and Challenges of Engineering Education, EDUCON 2018 |
Publisher | IEEE Computer Society |
Pages | 1459-1462 |
Number of pages | 4 |
Volume | 2018-April |
ISBN (Electronic) | 9781538629574 |
DOIs | |
Publication status | Published - 23 May 2018 |
Event | 2018 IEEE Global Engineering Education Conference - Emerging Trends and Challenges of Engineering Education, EDUCON 2018 - Santa Cruz de Tenerife, Canary Islands, Spain Duration: 17 Apr 2018 → 20 Apr 2018 |
Conference
Conference | 2018 IEEE Global Engineering Education Conference - Emerging Trends and Challenges of Engineering Education, EDUCON 2018 |
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Country/Territory | Spain |
City | Santa Cruz de Tenerife, Canary Islands |
Period | 17/04/18 → 20/04/18 |
Keywords
- Emotion Analysis
- Facial Expressions
- Machine Learning