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  1. machine-learning

Emotion Detection with Machine Learning

PreviousCT-Scan for Covid-19 Classification using Machine LearningNextFace Expression and Detection

Last updated 2 years ago

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  • , , Yelin Kim : DBN

  • , Ming Chen : CNN

  • , ,Hiranmayi Ranganathan : CDBN

  • ,Jufeng Yang : Multitask CNN

  • , , Emre Dandıl : CNN + Viola-Jones algorithm for face detection

  • , , Panagiotis Giannopoulos : AlexNet GooLeNet

  • , , Byoung Chul Ko : review of FER methods, emotion classification in both spatial and temporal, there are to categories: (a) CNN, (b) CNN and LSTM, list of datesets.

  • , , Charlyn Pushpa Latha : review of (speech and facial) methods, algorithm categories: (a) DBM (b) DNN (c) CNN (c) SAE (f) others

  • , Dan Duncan : CNN with running average, VGGS network with a face-detector provided by OpenCV (Haar Cascade),

  • , , Abdulrahman Alreshidi : Haar Cascade + Neighboring Difference Features (NDF)

  • , , Haik Kalantarian : scalable aggregation of emotive frames from children with autism

Github

Ideas

  • Real Time Facial Feature Extraction : Emotional + others, video based, handheld based.

Library

: haar cascade +CNN

: haar cascade + ?

: haar cascade + VGGNet/Resnet

This work showcases two independent methods for recognizing emotions from faces. The first method using representational autoencoder units, a fairly original idea, to classify an image among one of the seven different emotions. The second method uses a 8-layer convolutional neural network which has an original and unique design, and was developed from scratch.

: face recognition, and facial attributes detection (age, gender, emotion and race)

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

Real time emotion detection from facial expression using both machine learning and deep learning techniques.

: CNN

: Automatic Micro-Expression Recognition (AMER) This project was about providing an Android application that can help people take charge of their own emotional health by capturing their micro expressions such as happiness, sadness, anger, disgust, surprise, fear, and neutral.

: A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python

upgrade approach

upgrade approach

upgrade

: open source, web app

for Drowsiness detection, by aka : Be sure to don't fall asleep when driving thanks to this webapp! You can try it here: , or a

for Expressions reader, by aka : detects 5 high level expressions (happiness, fear, anger, surprise, sadness) from the morph coefficients given by this lib, and display them as smileys. You can try it here: or

Deep learning for robust feature generation in audiovisual emotion recognition
pdf
Learning deep features for image emotion classification
Multimodal emotion recognition using deep learning architectures
pdf
Deep learning for emotion recognition on small datasets using transfer learning
pdf
Learning multi-level deep representations for image emotion classification
Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network.
Real-time Facial Emotion Classification Using Deep Learning
pdf
Deep learning approaches for facial emotion recognition: A case study on FER-2013
pdf
A brief review of facial emotion recognition based on visual information
pdf
A review on deep learning algorithms for speech and facial emotion recognition
pdf
Facial emotion recognition in real time
Facial Emotion Recognition Using Hybrid Features
pdf
Deep learning model for facial emotion recognition
Facial emotion recognition using deep convolutional networks
Labeling images with facial emotion and the potential for pediatric healthcare
pdf
Facial emotion recognition using deep convolutional neural network
Facial emotion recognition in real-time and static images
Real-time Algorithms for Facial Emotion Recognition: A Comparison of Different Approaches
Facial emotion recognition using deep learning: review and insights
pdf
Facial emotion recognition from videos using deep convolutional neural networks
atulapra/Emotion-detection
MauryaRitesh/Facial-Expression-Detection
kaushikjadhav01/Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-System
MauryaRitesh/Facial-Expression-Detection-V2
Facial-Emotion-Detection
juan-csv/Face_info
weblineindia/AIML-Human-Attributes-Detection-with-Facial-Feature-Extraction
berksudan/Real-Time-Emotion-Detection
susantabiswas/realtime-facial-emotion-analyzer
m-elkhou/Facial_Expression_Detection
Paper
serengil/deepface
mayanktolani19/RealTimeEmotionDetection: A flask based web app which utilizes your webcam to capture real time video and display your facial emotion.
juan-csv/Face_info
weblineindia/AIML-Human-Attributes-Detection-with-Facial-Feature-Extraction
m-elkhou/Facial_Expression_Detection
Jeeliz
Github
Abhilash26
Dinodroid
dont-drive-drowsy.glitch.me
view the source code
demo video
Abhilash26
Dinodroid
emotion-reader.glitch.me
browse the source code
Realtime Facial Emotion Analyzer