Wearable brain-machine interface could help improve wireless control for disabled people

Gary Hughes
Brain machine interface by Woon-Hong Yeo, Georgia Tech
Test subject who has flexible wireless electronics conformed to the back of the neck, with dry hair electrodes under a fabric headband and a membrane electrode on the mastoid, connected with thin-film cables

An Anglo-US collaboration involving Dr Jim Ang has announced that, by combining new classes of nanomembrane electrodes with flexible scalp electronics and a deep learning algorithm, disabled people could be helped to wirelessly control mobility aids or interact with a computer without the need for bulky equipment.

This includes electronic wheelchairs and small motor vehicles.

The research, which was reported on by the journal Nature Machine Intelligence, was conducted by Dr Ang and Deogratias Mzurikwao from Kent’s School of Engineering and Digital Arts, alongside researchers from the Georgia Institute of Technology and Wichita State University.

For further information go here.

 

 

An aerosol-jet printed stretchable, skin-like electrode with an open-mesh structure shown in inset. (Courtesy of Woon-Hong Yeo)