Brain-Computer interface (BCI)

Develop wearable and wireless neuroimaging device

We design and develop ultra-lightweight, wearable, wireless, low-cost, whole-head EEG systems featuring a miniature circuit for signal amplification and successively higher sensor densities that can allow assessment of brain activities of participants actively performing ordinary tasks in natural body positions and situations within a real operational environment. We have developed several types of novel dry-contact EEG sensors including foam-based, spring-loaded, and silicon-based sensors that can efficiently reduce the preparation time and provide excellent EEG signals without a conductive gel and skin preparations. Based on the invented dry sensors, a series of EEG helmets are developed, called MINDO4, MINDO16, MINDO32, MINDO64, and MINDO80 for measuring 4 to 80 channels of EEG signals.

Deploy our technology to real-world applications

In additional to EEG-based robotic arm system, we have successfully demonstrated the feasibility of the EEG with advanced sensing technology and state-of-the-art algorithms to support people with healthcare needs in monitoring sleep, detecting headaches, treating depression, improving attention, and rehabilitation. We are also fusing multiple streams of psychophysiological information such as electrocardiography, electrooculography, actigraphy, galvanic skin response, to construct prototypes of neurocognitive brain-machine interface to improve overall human performance.

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.