Neuroergonomics – Brain Computer Interface
The study of brain and behaviour at work for augmented human performance
Deep Learning for EEG-based Fatigue Assessment
A high-efficacy EEG assessment system based on a deep learning algorithm
CIBCI develops high-density wearable wireless EEG helmets that can detect human cognitive states in real time. The provided data can augment human performance in machine and vehicle operation, education and training, marketing, defence and a host of other areas. This technology also has medical applications in treating patients with chronic neural diseases like migraine, depression and sleep disorders.
Director: Distinguished Professor CT Lin
Learn more at the CIBCI website.