Miniature Physiological Sensors with Integrated Brain Signal Decoders for Brain-Robot Interaction

Project Member(s): Lin, C., Iacopi, F., Do, N., Wang, Y.

Funding or Partner Organisation: Department of Defence (Defence Innovation Hub)
Department of Defence (Defence Innovation Hub)

Start year: 2023

Summary: In this project, the research team aims to develop a miniature physiological (e.g. electroencephalography (EEG) and electromyography (EMG) sensors with integrated brain signal decoder for brain-robot integration.

Publications:

Almohammadi, A & Wang, Y-K 1970, 'Integrated Connectivity-based Stacking Ensemble Learning with GCNNs for EEG Representation', 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE.
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Almohammadi, A & Wang, Y-K, 'Revealing brain connectivity: graph embeddings for EEG representation learning and comparative analysis of structural and functional connectivity', Frontiers in Neuroscience, vol. 17.
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FOR Codes: Emerging defence technologies, Command, control and communications, Rehabilitation, Human-computer interaction, Biomedical instrumentation, Other biomedical and clinical sciences not elsewhere classified, Artificial intelligence not elsewhere classified, Mixed initiative and human-in-the-loop

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.