Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model
openFACS : an open source FACS-based 3D face animation system
人脸数据集（datasets of face）
[TCSS 2024] MAE pre-training models (ViT and ConvNeXt) using AffectNet images for static facial expression recognition (SFER).
Hands-on computer vision projects exploring face recognition, object tracking, digit classification, and gesture detection using Python and OpenCV.
This project is a real-time facial emotion recognition system using OpenCV, Mediapipe, and DeepFace. It captures video from a webcam, detects facial landmarks, and analyzes emotions in real-time using deep learning models.
This repository provides the official implementation of our method proposed in the paper: "Adaptive Physical-Facial Representation Fusion via Subject-Invariant Cross-Modal Prompt Tuning for Video-based Emotion Recognition"
Flutter plugin for MediaPipe Face & Pose Landmarker. Real-time facial expression, eye contact, and posture analysis for Android & iOS.
🌿 An interactive AI-powered plant that reacts to your facial emotions. Built with Transformers, PyTorch, and Streamlit — capture your mood, and the plant responds with joy, calmness, or sadness!
A tens-of-thousands-yuan-class embodied emotional-interaction robot, free to claim worldwide (real-name verified, one free unit per person, unlimited recipients worldwide). 数万元级实体情感交互机器人,全球免费申领。(实名制每人免费申领一台,全球不限量人数)
Smile to jump! 😊 A unique Flappy Bird twist using your webcam and facial expressions to control gameplay. Powered by React and face-api.js.
Real-time facial emotion classification using a custom CNN (PyTorch) with a Streamlit web app supporting image upload and live webcam inference.
GDG TechSprint 2025 winning project leveraging Vision Transformers, Whisper ASR, and Gemini AI for multimodal deception detection.
Facial Emotion Recognition using CNN on FER-2013 dataset
Real-time emotion detection from webcam — CNN on FER2013 (35K images, 7 emotions, ~67% test accuracy) with live face tracking via OpenCV
A machine learning project that classifies facial emotions (happy vs. neutral) using Principal Component Analysis for feature extraction and Support Vector Machine for classification.
Automating E-Government services using AI: sentiment analysis, digit recognition & facial detection.
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