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3-D Hand Motions Based on Brain Signals Possible
According to the researchers, their study may open new doors for portable brain-computer interface systems.
Such a non-invasive system could potentially operate a robotic arm or motorized wheelchair - a huge advance for people with disabilities or paralysis.
Until now, to reconstruct hand motions, researchers have used non-portable and invasive methods that place sensors inside the brain.
In this study, lead author Jose Contreras-Vidal, of the University of Maryland, College Park, and colleagues placed an array of sensors on the scalps of five participants to record their brains' electrical activity, using a process called electroencephalography, or EEG.
Volunteers were asked to reach from a center button and touch eight other buttons in random order 10 times, while the authors recorded their brain signals and hand motions.
Afterward, the researchers attempted to decode the signals and reconstruct the 3-D hand movements.
"Our results showed that electrical brain activity acquired from the scalp surface carries enough information to reconstruct continuous, unconstrained hand movements," Contreras-Vidal said.
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