Project 62: Cross-Culture Emotion Recognition from EEG and Eye Tracking
Contact Information:
Prof. Bao-Liang Lu
Email: bllu@sjtu.edu.cn
Project Description and Objectives:
Emotion plays a significant role in our daily lives and has been described as the ‘driving force’ behind motivation, endowing meaning to all human interactions. As we all know, various environments and cultures influence a human’s physical characteristics, thought processes, and many other aspects. Humans all over the world may have different emotional patterns or possess similar emotional characteristics. Recently, multicultural research concerning emotion recognition has provided explanations for cross-cultural differences as well as similarities.
This project mainly investigates the emotional neural patterns among different cultures using EEG and eye movement signals. As we all know, facial expressions for different emotions are similar all over the world, regardless of culture. This study aims to find out whether people sharing the same emotions have similar neural patterns and to discover more facts about human emotions.
Eligibility Requirements:
Interested students should have basic knowledge of machine learning and programming skills in Python.
Experience with TensorFlow or PyTorch is preferred.
Main Tasks:
Finish a research report.
Carry out at least 10 EEG experiments to collect emotional EEG and eye-tracking data. Analyze EEG and eye-tracking data using machine learning methods.
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