Through visual stimuli appearing on computerised devices, such as screens, the user can select from a set of bed-control functions. The system continuously records the user’s brain activity, processes them to determine which stimulus was required by the user, and activates the corresponding bed function.
The team behind BrainApp addressed various practical issues in the field of Brain Computer Interface systems, used to control external devices. Specifically, the team eliminated the typical requirement of a preliminary training session to record subject specific data before using the BCI, and instead developed a framework to record this while the user is already using the system. This provides a more practical solution and a richer user experience.
Dr Tracey Camilleri, project coordinator of the BrainApp project, said: "The team working on this project have made it possible for an individual to control a motorised bed using brain signals directly, giving individuals with limited fine motor skills an alternative way of controlling devices around them. The work is an advancement in the field of biomedical engineering as it addressed practical issues in the development of brain-computer interface systems."