基于个性的学习环境情感识别

2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2020-07-01 DOI:10.1109/icalt49669.2020.00113

Ramón Zataraín-Cabada, María Lucía Barrón Estrada, Héctor Manuel Cárdenas-López

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引用次数: 1

摘要

在本文中，我们提出了使用卷积神经网络创建视频人格识别模型。我们还建议实现这些模型，以创建以学习为中心的情绪数据集，并使用个性作为分割它们以提高准确性的手段。与其他最先进的模型相比，该模型在测试时比最先进的模型改进了大约3%。

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Personality-based emotion recognition for learning environments

In this paper we present the creation of a video personality recognition model using convolutional neural networks. We also propose the implementation of these models towards the creation of datasets for learning centered emotions with the use of personality as a mean of partitioning them for accuracy enhancement. The model when compared with other state of the art models, shown an improvement of roughly 3% over the best state of the art model when tested.

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2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT)

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