Real-Time Emotional Analysis

被引：0

作者：

Savva, Andreas ^{[1
]}

Stylianou, Vasso ^{[1
]}

机构：

[1] Univ Nicosia, Dept Comp Sci, Sch Sci & Engn, Nicosia, Cyprus

来源：

2023 INTERNATIONAL CONFERENCE ON COMPUTER, ELECTRICAL & COMMUNICATION ENGINEERING, ICCECE | 2023年

关键词：

Machine learning; Emotion analysis; Facial expressions;

D O I：

10.1109/ICCECE51049.2023.10084955

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper describes the development of a system which captures students' facial expressions during a lecture and by using machine learning methods it produces a timeline of their emotions. Examples of such emotions are: happiness, surprise, fear, neutral and sadness. This can assist an educator to identify aspects for improving a lecture, such as, at which periods of time students were confused, or, in a 3-hour lecture when a break is needed, etc.

引用

页数：5

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