实时情绪分析

A. Savva, Vasso Stylianou
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引用次数: 0

摘要

本文描述了一个系统的开发,该系统可以在讲座期间捕捉学生的面部表情,并使用机器学习方法生成他们情绪的时间轴。这些情绪的例子有:快乐、惊讶、恐惧、中性和悲伤。这可以帮助教育工作者确定改进讲座的方面,例如,学生在哪些时间段感到困惑,或者在3小时的讲座中需要休息等等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-Time Emotional Analysis
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.
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