面向慕课的情绪识别系统
A MOOC-Oriented Emotion Recognition System
DOI: 10.12677/CES.2018.64047, PDF,    国家自然科学基金支持
作者: 徐姜琴:厦门大学外国语学院,福建 厦门;张永锋:厦门亚伯锋天科技有限公司,福建 厦门
关键词: 慕课情绪识别人工智能MOOC Emotion Recognition Artificial Intelligence
摘要: 准确而快速地发现学习者的情绪变化,对提高慕课的教学质量具有极为重要的价值。然而面向慕课的情绪识别工具必须解决鲁棒性和实时性这两个关键问题。在这项研究中,我们提出了使用Computer Unified Device Architecture (CUDA)技术来对深度时空推理网络进行加速,从而快速而准确的识别学习者的面部情绪状态。我们利用添加不同噪声的AR数据来测试了我们的方法,并将结果同其他深度学习方法进行了对比。实验结果证明了我们的方法的有效性。
Abstract: Accurate and rapid detect changes of learner’s emotional state is of great importance to improve the teaching quality of Massive Open Online Courses (MOOC). However, the emotion recognition tools for MOOC must solve the two key issues: robustness and real-time. In this study, we proposed a deep learning approach which is based on the Computer Unified Device Architecture (CUDA) technology, called CUDA-DeSTIN, to quickly and accurately identify the learner’s facial emotional state. We tested our method using AR data with different noise, and compared the results with other deep learning methods. The experimental results prove the effectiveness of our method.
文章引用:徐姜琴, 张永锋. 面向慕课的情绪识别系统[J]. 创新教育研究, 2018, 6(4): 299-305. https://doi.org/10.12677/CES.2018.64047

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