Facial Emotion Recognition: A Survey and Real-World User Experiences in Mixed Reality.
Facial Emotion Recognition: A Survey and Real-World User Experiences in Mixed Reality.
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DOI：
10.3390/s18020416
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发表时间：
2018-02-01
期刊：
影响因子：
--
通讯作者：
Javaid AY
中科院分区：
文献类型：
--
作者：
Mehta D;Siddiqui MFH;Javaid AY
广泛的应用可能性使得情感识别在计算机科学领域成为不可避免且具有挑战性的问题。使用非语言提示（例如手势、身体动作和面部表情）向用户传达感觉和反馈。人机交互这一学科依赖于算法的鲁棒性和传感器的灵敏度来改善识别。传感器通过提供非常高质量的输入，在准确检测中发挥着重要作用，从而提高系统的效率和可靠性。自动识别人类情感将有助于在机器中教授社交智能。本文简要研究了情绪识别的各种方法和技术。该调查对数据库进行了简要回顾，这些数据库被视为通过面部表情检测情绪的算法的数据集。后来，混合现实设备 Microsoft HoloLens (MHL) 被引入，用于观察增强现实 (AR) 中的情绪识别。简要介绍了其传感器、它们在情感识别中的应用以及使用 MHL 进行情感识别的一些初步结果。然后，本文通过比较 MHL 和常规网络摄像头的情绪识别结果得出结论。
Extensive possibilities of applications have made emotion recognition ineluctable and challenging in the field of computer science. The use of non-verbal cues such as gestures, body movement, and facial expressions convey the feeling and the feedback to the user. This discipline of Human–Computer Interaction places reliance on the algorithmic robustness and the sensitivity of the sensor to ameliorate the recognition. Sensors play a significant role in accurate detection by providing a very high-quality input, hence increasing the efficiency and the reliability of the system. Automatic recognition of human emotions would help in teaching social intelligence in the machines. This paper presents a brief study of the various approaches and the techniques of emotion recognition. The survey covers a succinct review of the databases that are considered as data sets for algorithms detecting the emotions by facial expressions. Later, mixed reality device Microsoft HoloLens (MHL) is introduced for observing emotion recognition in Augmented Reality (AR). A brief introduction of its sensors, their application in emotion recognition and some preliminary results of emotion recognition using MHL are presented. The paper then concludes by comparing results of emotion recognition by the MHL and a regular webcam.
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