Robin Bussell’s prototype Brain- Body-Interface uses neural networks as a navigational tool to explore three dimensional qualities of scientific imagery captured through microscopes and MRI scanners .
This form of machine vision (media pipe) recognises specific parts of the body and face and overlays key points on top of live video capture – projected into the space alongside the 3D imagery.
For these Brain- Body-Interfaces, Robin has connected specific body movements to the navigation of virtual 3 dimensional environments – in this case- three dimensional stacks of scientific imagery used by scientists to analyse and understand brain function and development.
Through specific movements of your hands or body, participants can navigate the intricate insides of real people’s healthy brains, observe the devastating contrasts between health and disease and see visual examples of how dementias impact on the brain over time.
This highly interactive and immersive form of engagement invites audiences to move physically in order to journey through layers of brain imagery, learning about new forms of image capture and how scientists study and assess the health and structure of brain tissues – at radically different scales.
These interfaces are being developed toward an exciting range of applicatoins through collaborations with brain scientists at UCL and Aston and using sample image date for UCL’s MIRIAD study.