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emotion-detection

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richmondu / libfaceid

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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.

raspberry-pi opencv machine-learning deep-learning tensorflow scikit-learn keras speech-synthesis speech-recognition face-recognition face-detection dlib openface facenet convolutional-neural-network pose-estimation emotion-detection gender-detection age-detection face-spoofing-detection
  • Updated Oct 12, 2021
  • Python
human

vladmandic / human

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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

face-recognition face-detection gaze-tracking gesture-recognition emotion-detection body-tracking hand-tracking face-api age-estimation face-position gender-prediction tensorflowjs tfjs face-embedding face-matching body-segmentation iris-tracking face-mesh human-library
  • Updated Oct 23, 2021
  • TypeScript

x4nth055 / emotion-recognition-using-speech

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Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

machine-learning deep-learning sklearn keras recurrent-neural-networks feature-extraction neural-networks support-vector-machine mfcc librosa emotion-detection gradient-boosting emotion-recognition kneighborsclassifier random-forest-classifier mlp-classifier speech-emotion-recognition emotion-recognizer
  • Updated Sep 29, 2021
  • Python

juan-csv / face_liveness_detection-Anti-spoofing

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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"

python face-detection emotion-detection face-antispoofing liveness-detection anti-spoofing blink-detection face-liveness-detection face-anti-spoofing profile-detection
  • Updated Aug 25, 2021
  • Python
AIML-Human-Attributes-Detection-with-Facial-Feature-Extraction

weblineindia / AIML-Human-Attributes-Detection-with-Facial-Feature-Extraction

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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.

machine-learning mxnet machine-learning-algorithms aiml artificial-intelligence facial-recognition face-recognition gender-recognition age-recognition facenet gender-classification facial-expression-recognition emotion-detection artificial-intelligence-algorithms emotion-recognition gender-prediction facenet-trained-models facial-attributes mxnet-imageclassification facial-features-extraction
  • Updated Sep 22, 2020
  • Python

SanjayMarreddi / Emotion-Investigator

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Think of Practical Applications and How to apply our project there ? 💡

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SanjayMarreddi
SanjayMarreddi commented Dec 24, 2020

Here are some popular Practical Applications of Facial Expression Recognition :

  • During Interviews
  • Students activeness during Online Education
  • Real-time monitoring of physically disabled patients.

STEPS to Proceed :

  1. Once you think of an Application, Try to figure out what additional Tech Stack is required to implement that.
  2. If you are already familiar with the Tech Stack,
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