Abstract: Electroencephalogram (EEG) and facial expression based emotion classification is a relatively new field in the affective computing area with challenging issues regarding the consecration of ...

which utilize unsupervised learning to enhance feature representation before applying supervised learning for emotion classification[5]. This approach not only improves model performance but also ...

import pandas as pd from datasets import load_dataset from transformers import AutoTokenizer, DataCollatorWithPadding, AutoModelForSequenceClassification import numpy ...

Thus, developing an automatic driver emotion classification method is necessary and urgent. Most of the existing methods are performed in realistic indoor environment and always lack effective ...

This project is a Dog Emotion Recognition system that uses machine learning to classify emotions in dogs based on audio and video inputs. The backend is built with Flask and the frontend is built ...