Computational Intelligence and Brain Computer Interface Lab

 

The  Computational Intelligence and Brain-Computer Interface (CIBCI) Lab's main research focus is translational neuroscience and machine intelligent systems, including algorithm development and brain-computer interface design.

Research areas include:

• cognitive neuroscience research
• fundamental electronic circuits
• signal and information processing
• system realisation and evaluation

The short-term research objective is to exploit computational intelligence methodologies for brain-machine Interface, and the long-term goal is to incorporate bio-inspired, brain-like computational capabilities into next-generation computers and robots.

Brain-Computer Interface and EEG Assessment Systems

Researchers at the CIBCI Lab develop wearable wireless electroencephalography (EEG) headsets that detect human cognitive states in real-time and provides feedback to improve human performance.  Wearable headsets provide early warning signals for operators of machinery and motor vehicles, tailor educational content to enhance training, assess customers' emotions to build product marketing strategies, and assist in fatigue management of military personnel.

EEG headsets have a range of sensors to detect electrical activity in different areas of the brain for augmented human performance

Using cloud computing and technology intelligence our EEG devices can be developed many medical applications.  For instance, the brain health of patients can be evaluated to assist in treating patients with chronic neurological conditions.