A brain-computer interface for controlling an exoskeleton

A brain-computer interface for controlling an exoskeleton
A volunteer calibrating BCI. Credit: (c) Korea University / TU Berlin

Scientists working at Korea University, Korea, and TU Berlin, Germany have developed a brain-computer control interface for a lower limb exoskeleton by decoding specific signals from within the user's brain.

Using an electroencephalogram (EEG) cap, the system allows users to move forwards, turn left and right, sit and stand simply by staring at one of five flickering light emitting diodes (LEDs).

The results are published today in the Journal of Neural Engineering.

Each of the five LEDs flickers at a different frequency, and when the user focusses their attention on a specific LED this frequency is reflected within the EEG readout. This signal is identified and used to control the .

A key problem has been separating these precise signals from those associated with other brain activity, and the highly artificial signals generated by the exoskeleton.

"Exoskeletons create lots of electrical 'noise'" explains Klaus Muller, an author on the paper. "The EEG signal gets buried under all this noise - but our system is able to separate not only the EEG signal, but the frequency of the flickering LED within this signal."

Although the paper reports tests on healthy individuals, the system has the potential to aid sick or disabled people.

"People with (ALS) [], or high spinal cord injuries face difficulties communicating or using their limbs" continues Muller. "Decoding what they intend from their could offer means to communicate and walk again."

A volunteer operating BCI. Credit: (c) Korea University / TU Berlin

The control system could serve as a technically simple and feasible add-on to other devices, with EEG caps and hardware now emerging on the consumer market.

It only took volunteers a few minutes to be training how to operate the system. Because of the flickering LEDs they were carefully screened for epilepsy prior to taking part in the research. The researchers are now working to reduce the 'visual fatigue' associated with longer-term users of such systems.

"We were driven to assist disabled people, and our study shows that this brain control interface can easily and intuitively an exoskeleton system - despite the highly challenging artefacts from the exoskeleton itself" concludes Muller.


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More information: A lower limb exoskeleton control system based on steady state visual evoked potentials, J. Neural Eng. 12 056009. iopscience.iop.org/1741-2560/12/5/056009
Journal information: Journal of Neural Engineering

Citation: A brain-computer interface for controlling an exoskeleton (2015, August 17) retrieved 27 June 2019 from https://phys.org/news/2015-08-brain-computer-interface-exoskeleton.html
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Aug 18, 2015
Made device for reading human thoughts / human mind reading machine / Brain Computer Interface. Discovery is not published. Сурен Акопов. ( Syren Akopov ).

Aug 24, 2015
I worked on a design similar to this at LANL for the PITMAN exoskeleton which used individual fiber optic interferometers attached to a magnetostrictive material placed above each contact point on the brain.

Aug 24, 2015
Each of the five LEDs flickers at a different frequency, and when the user focusses their attention on a specific LED this frequency is reflected within the EEG readout.

Heh. Clever.

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