FACIAL EXPRESSION RECOGNITION

Facial Expression Recognition is a system which provides an interface for computer and human interaction. With the advancement of technology and need of the hour such systems have earned the interest of researchers in psychology, medicine, computer science and similar other fields as its applications are identified in such fields. Facial expression recognizer is an application which uses live data coming from the camera or even the existing videos to capture the expressions of the person in the video and is represented on the screen in the form of attractive emojis. Expressions form the basis of human communication and interaction. Expressions are used as a crucial tool to study the behaviour in the medicine and psychological fields to understand the state of mind of the people. The main objective to develop such a system was to be able to classify facial expressions using CNN algorithm which is responsible for the expression detection and then providing a corresponding emoticon relevant to detected facial expression as the output.

面部表情识别（Facial Expression Recognition）是一类用于构建人机交互接口的系统。随着技术进步与当下的实际需求，这类系统已受到心理学、医学、计算机科学等诸多领域研究者的广泛关注，因其在各相关领域均具备明确的应用价值。面部表情识别器作为一款应用程序，可通过摄像头采集的实时数据或现有视频素材，捕捉视频中人物的面部表情，并以生动的表情符号（emojis）形式在屏幕上呈现。面部表情是人类沟通与互动的核心基础。在医学与心理学领域，面部表情被视作研究人类行为、剖析个体心理状态的关键工具。本系统的研发核心目标为：借助卷积神经网络（Convolutional Neural Network, CNN）算法实现面部表情分类以完成表情检测任务，并最终输出与检测到的面部表情相匹配的表情符号作为输出结果。