This repository provides the codes for MMA-DFER: multimodal (audiovisual) emotion recognition method. This is an official implementation for the paper MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild.

Face-Cap: Image Captioning using Facial Expression Analysis

A package for extracting facial expressions from SLEAP analyses

Explore the intersection of technology and healthcare with our ‘Face Emotion Detection for Alzheimer’s Care’ project. This repository is dedicated to developing AI-driven solutions to understand and respond to the emotional states of Alzheimer’s patients, aiming to improve their quality of life.

MoodLint is a Visual Studio Code extension for Mood based debugging that helps by integrating real-time mood detection with future mood prediction and generation of how you would look in predicted mood

it focuses on real-time emotion analysis in crowds using Convolutional Neural Networks (CNN) and OpenCV. Developed in Python, the system detects and analyzes facial emotions to provide valuable insights for event management and public safety.

Facial expression generation