Project 62: Cross-Domain Vigilance Estimation with Transfer Learning
Contact Information:
Prof. Bao-Liang Lu
Email: bllu@sjtu.edu.cn
Project Description and Objectives:
In this project, we will recruit subjects to take part in lab and real driving tasks. We use dry electrodes to collect EEG signals and implement different domain adaptation models. The goal is to build cross-domain vigilance estimation models.
Eligibility Requirements:
Interested students should have basic knowledge of machine learning; programming skills on python
Experience on TensorFlow or PyTorch is preferred.
Main Tasks:
Finish a research report.
Conduct experiments.
Master different domain adaptation methods.
Website: