FEIT Research Project Database

Novel algorithms for brain computer interfaces


Project Leader: Sam John
Staff: David Grayden
Primary Contact: Sam John (sam.john@unimelb.edu.au)
Keywords: neural engineering; neuroengineering
Disciplines: Biomedical Engineering
Domains:
Research Centre: Neuroengineering Research Laboratory

Brain machine interfaces (BMIs) offer hope of restored movement and communication for people with severe paralysis. However, much of the current work on brain machine interfaces revolves around decoding discrete movement or continous movements. However, this process is slow and cubmersome for people using BCI resulting in low decoding accuracies. One way to improve the accuracy is to develop novel algorithms that can decode semantic information of thought. The present project will involve decoding semantic information for the purpose of controlling a BMI.

Further information: https://biomedical.eng.unimelb.edu.au/john-neurobionics/research