Multimodal EEG-ECG Pipeline for Emotion Recognition

Project Overview

A multimodal EEG-ECG pipeline for emotion recognition, integrating brain and cardiac signal analysis for affective computing and mental health monitoring. The system synchronizes electroencephalogram and electrocardiogram signals through temporal alignment, extracts spectral and HRV features, and employs deep fusion networks to classify emotional states such as happiness, sadness, stress, and relaxation for human-computer interaction and mental wellness applications.