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Automatic recognition of facial expressions using microsoft kinect with artificial neural network

机译:使用Microsoft kinect和人工神经网络自动识别面部表情

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Autism is a lifelong, developmental disability that affects how a person communicates with and relates to other people. It is defined by a certain set of behaviours such as, Facial Expression of Emotion. Autistic people often have difficulty recognising or understanding other people's emotions and feelings, or expressing their own. Such difficulties can make it very hard for autistic people to navigate the social world. Our study provides a novel clinical tool which facilitates for doctors the diagnosis of Autism Spectrum Disorders (ASD). We focus on automatic identification of six emotions among autistic children in real time: Happiness, Anger, Sadness, Surprise, Fear, and Disgust. In this paper, we present an emotion recognition system for children with autism, which consists of three modules: model-based face tracking, feature extraction, and emotion recognition using artificial neural network (ANN). The experimental results show that our system can achieve above 94.4% recognition rate.
机译:自闭症是一种终生的发展性残疾,它会影响一个人与他人的交流和联系方式。它由一组特定的行为定义,例如“面部表情”。自闭症患者通常难以识别或理解他人的情感和感受,或表达自己的情感。这样的困难会使自闭症患者很难驾驭社会世界。我们的研究提供了一种新颖的临床工具,可帮助医生诊断自闭症谱系障碍(ASD)。我们专注于实时自动识别自闭症儿童中的六种情绪:幸福,愤怒,悲伤,惊奇,恐惧和厌恶。在本文中,我们提出了一种针对自闭症儿童的情感识别系统,该系统包括三个模块:基于模型的面部跟踪,特征提取以及使用人工神经网络(ANN)进行的情感识别。实验结果表明,该系统可以达到94.4%以上的识别率。

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