In this work, user's emotion using its facial expressions will be detected. These expressions can be derived from the live feed via system's camera or any pre-exisiting image available in the memory. Emotions possessed by humans can be recognized and has a vast scope of study in the computer vision industry upon which several researches have already been done. The work has been implemented using Python (2.7, Open Source Computer Vision Library (OpenCV) and NumPy. The scanned image(testing dataset) is being compared to the training dataset and thus emotion is predicted. The objective of this paper is to develop a system which can analyze the image and predict the expression of the person. The study proves that this procedure is workable and produces valid results.
翻译:在这项工作中,将检测到用户使用面部表情的情绪。 这些表情可以来自通过系统相机或通过记忆中任何前摄像头提供的实时反馈或任何预断图像。 人类的情感可以得到承认,并且在计算机视觉产业中具有广泛的研究范围,对此已经进行了几项研究。 这项工作已经使用Python(2. 7, Open源计算机视觉图书馆(OpenCV)和NumPy)实施。 扫描图像(测试数据集)正在与培训数据集进行比较, 从而可以预测情绪。 本文的目的是开发一个能够分析图像和预测个人表现的系统。 这项研究证明这一程序是可行的, 并产生有效的结果 。