Essays about: "FER2013"

Found 3 essays containing the word FER2013.

  1. 1. Emotion recognition with Deep Learning and its correlation with veracity

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Emma Goodwin; [2022]
    Keywords : ;

    Abstract : Emotion recognition is an interesting and important field of study in many professional fieldssuch as medicine and law enforcement. This topic of study has many different challenges toexplore and we chose a few of these to expand upon. READ MORE

  3. 2. A Comparative Analysis of Machine Learning Algorithms in Binary Facial Expression Recognition

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Frans Nordén; Filip von Reis Marlevi; [2019]
    Keywords : Support vector machine; extreme learning ma- chine; convolutional neural network; transfer learning; residual neural network; binary facial expression recognition; FER2013; JAFFE.;

    Abstract : In this paper an analysis is conducted regarding whether a higher classification accuracy of facial expressions are possible. The approach used is that the seven basic emotional states are combined into a binary classification problem. READ MORE

  4. 3. Recognizing Spontaneous Facial Expressions using Deep Convolutional Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Erik Söderberg; Andreas Jönsson; [2018]
    Keywords : facial expression recognition; deep neural network; machine learning; image analysis; Technology and Engineering;

    Abstract : Emotion recognition is a relatively new research area within image analysis where machine learning models learn to interpret facial expressions. In this thesis paper the authors have investigated how close to human accuracy selected deep convolutional neural network models can reach on the Emotion Recognition Problem, what the purpose of such an application might be and what compromises can be made when balancing computational power and classification performance. READ MORE