Brain-Machine Interfaces and Brain-Controlled Grasping (BMI and BRACOG)
Research is being done worldwide on controlling robots by thought alone in order to enable people with severe physical disabilities to interact with their environments. Many of the fifteen million 15 people who suffers strokes every year (WHO, 2004) are completely paralyzed because the brain no longer processes stimuli properly. Degenerative illnesses of the somatic nervous system deprive others of their ability to communicate with their environment after a relatively brief period.
Together with the Fraunhofer IFF and Carl von Ossietzky University Oldenburg, the Clinic for Neurology at Otto von Guericke University Magdeburg developed new approaches to controlling a robotic arm’s complex movements by thoughts alone.
Multi-class classifiers and multi-dimensional independent variable are being employed to analyze natural human movement in conjunction with brain waves and methods are being developed, which enable the brain, despite its many concurrent processes, to control a robot stably and without errors even in everyday routines.