Yige Yang

Detecting affective states and brain interfacing in the real world and in multitasking scenarios: a neurotechnological approach

Project Summary

A major focus in my project is undertaking experiments “in the wild” outside the lab and uncontrolled environment that enable collection of large EEG datasets to train AI and developing solutions for labelling data in such situations using multimodal techniques including scene analysis, augmented reality, eye tracking and other modalities.

Research Interests

BCI classification, supervised and unsupervised learning in deep learning, models using multi-modalities, model architecture or mechanism design, EEG in virtual environments

Background

BSc Computer Science, University of Surrey

MSc Artificial Intelligence, University of Edinburgh

Supervisors

Prof Damien Coyle

Dr Christopher Clarke

Dr Crescent Jicol

Yige Yang