基于深度学习的多方交互微笑强度检测

2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) Pub Date : 2019-09-01 DOI:10.1109/ACIIW.2019.8925261

Philine Witzig, James Kennedy, Cristina Segalin

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引用次数: 2

摘要

情感表达识别是实现与人类交互的自主代理和系统决策的一个重要方面。在本文中，我们介绍了我们在开发用于多方交互的微笑强度检测的软件组件方面的经验。首先，详细描述了深度学习的体系结构和训练过程。接下来是对训练好的网络测试结果的分析。最后，我们概述了在实时软件组件中实现和可视化该网络所采取的步骤。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Smile Intensity Detection in Multiparty Interaction using Deep Learning

Emotion expression recognition is an important aspect for enabling decision making in autonomous agents and systems designed to interact with humans. In this paper, we present our experience in developing a software component for smile intensity detection for multiparty interaction. First, the deep learning architecture and training process is described in detail. This is followed by analysis of the results obtained from testing the trained network. Finally, we outline the steps taken to implement and visualize this network in a real-time software component.

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2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

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