emotion-detection
There are 28 repositories under emotion-detection topic.
- human
vladmandic / human
Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition
Language:HTML 2065 atulapra / Emotion-detection
Real-time Facial Emotion Detection using deep learning
Language:Python 1097maelfabien / Multimodal-Emotion-Recognition
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
Language:Jupyter Notebook 794declare-lab / MELD
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
Language:Python 751FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS
Language:HTML 737WIKI2020 / FacePose_pytorch
🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简，极快，高效是我们的宗旨)
Language:Python 682av-savchenko / face-emotion-recognition
Efficient face emotion recognition in photos and videos
Language:Jupyter Notebook 583x4nth055 / emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Language:Python 528- awesome-sentiment-analysis
Reading list for Awesome Sentiment Analysis papers
richmondu / libfaceid
libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.
Language:Python 479- ResidualMaskingNetwork
phamquiluan / ResidualMaskingNetwork
ICPR 2020: Facial Expression Recognition using Residual Masking Network
Language:Python 425 PeiranLi0930 / L-SVD
Large-Scale Selfie Video Dataset (L-SVD): A Benchmark for Emotion Recognition
JustinShenk / fer
Facial Expression Recognition with a deep neural network as a PyPI package
Language:Jupyter Notebook 318- face_liveness_detection-Anti-spoofing
juan-csv / face_liveness_detection-Anti-spoofing
face liveness detection activate, the script asks the person to generate an action, for example one of the actions they may ask you to do is smile, turn your face to the right, get angry, blink, etc. The actions are requested randomly, after fulfilling all the actions it generates a message saying "liveness successful" or "liveness fail"
Language:Python 253 face-analysis / emonet
Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021
Language:Python 250IliaZenkov / transformer-cnn-emotion-recognition
Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between
Language:Jupyter Notebook 207- Face_info
face recognition, detection of facial attributes (age, gender, emotion and race) for python.
Language:Python 156 Tandon-A / emotic
PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.
Language:Python 122ikegami-yukino / pymlask
Emotion analyzer for Japanese text
Language:Python 112susantabiswas / realtime-facial-emotion-analyzer
Human Emotion Analysis using facial expressions in real-time from webcam feed. Based on the dataset from Kaggle's Facial Emotion Recognition Challenge.
Language:Jupyter Notebook 106- AIML-Human-Attributes-Detection-with-Facial-Feature-Extraction
weblineindia / AIML-Human-Attributes-Detection-with-Facial-Feature-Extraction
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.
mxnetmxnet-imageclassificationfacial-recognitionfacial-expression-recognitionface-recognitionage-recognitiongender-classificationgender-recognitionemotion-detectionemotion-recognitiongender-predictionfacenetfacenet-trained-modelsartificial-intelligence-algorithmsmachine-learning-algorithmsaimlartificial-intelligencemachine-learningfacial-attributesfacial-features-extractionLanguage:Python 106 sidmulajkar / sentiment-predictor-for-stress-detection
Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.
Language:Jupyter Notebook 79collab-uniba / Emotion_and_Polarity_SO
An emotion classifier of text containing technical content from the SE domain
Language:OpenEdge ABL 74An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
Language:Jupyter Notebook 67UttaranB127 / STEP
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
graph-convolutional-networksgraph-convolutional-neural-networksspatial-temporal-action-detectionemotion-recognitiongaitgait-recognitionaffective-computingemotion-perceptionemotion-detectiongait-analysisvariational-autoencoderconditional-vaeconditional-variational-autoencoderdataset-generationdatasetLanguage:Python 67chenyangh / DialogueGenerationWithEmotion
Response generation giving specific emotion.
Language:Python 63kevinisbest / FrontEnd-EmotionDetection
Emotion detection on browser using TensorFlow.js
Language:HTML 60- Language:Python 58
Helsinki-NLP / XED
XED multilingual emotion datasets
Language:Jupyter Notebook 54simplesaad / EmotionDetection_RealTime
This is a Python 3 based project to display facial expressions by performing fast & accurate face detection with OpenCV using a pre-trained deep learning face detector model shipped with the library.
Language:Python 53abikaki / awesome-speech-emotion-recognition
😎 Awesome lists about Speech Emotion Recognition
speech-emotion-recognitionspeech-emotion-classificationaffective-computingartificial-intelligenceawesomeawesome-listhuman-computer-interactiondeep-learningemotionmachine-learningspeech-processingdeep-neural-networksemotion-detectionemotion-recognitionmultimodal-emotion-recognitionmultimodal-sentiment-analysissentiment-classificationemotional-speechexpressive-speech-synthesiskanchitank / Text-Emotion-Analysis
Automate detection of different emotions from paragraphs and predict overall emotion.
Language:Jupyter Notebook 49SanjayMarreddi / Emotion-Investigator
An Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.
Language:Jupyter Notebook 46- Group-Emotion-Recognition
samanyougarg / Group-Emotion-Recognition
Group Emotion Recognition using deep neural networks and Bayesian classifiers.
Language:Jupyter Notebook 45 Multimodal sentiment analysis using hierarchical fusion with context modeling
Language:Python 44Ztrimus / speech-emotion-recognition
Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
Language:Jupyter Notebook 44
