This repo is a project that applies the model from the paper “Attention-based Deep Multiple Instance Learning” to an EEG dataset. This project is implemented in Python. @article{ITW:2018, ...

The pipeline includes feature extraction, and classification using deep learning and machine learning models. 🧠 Dataset The DEAP dataset is a multimodal dataset for the analysis of human affective ...

This letter investigates ensemble median empirical mode decomposition (MEEMD), an extension model of ensemble empirical mode decomposition, and its improved characteristics for emotion recognition. It ...

Emotions are the behavioral responses representing mental state of a person. It is crucial to recognize the emotions of a person for human-computer interaction, to understand and respond to one’s ...

Figure 1.Emotion recognition model diagram. The input features are 4-dimensional tensors of shape (B, w, 62, 50), where B is the batch size, w is the number of windows (63 for SEED-IV and 74 for SEEDV ...