Recently, scientists have been actively working on the creation of brain-computer interfaces in the hope of obtaining robotic manipulators or even limbs that obey the commands of the brain.
Researchers at the University of Minnesota have developed their own brain signal processing technology based on electroencephalography (EEG) and machine learning. To realize it, you need to put on a high-tech helmet equipped with 64 electrodes.
In the first experiments, eight healthy volunteers had to first imagine the actions with their hands, without actually using them. The task of the participants in the experiment was to learn how to control the cursor on the computer screen while wearing an EEG helmet. After that, a robotic arm was connected to the computer.
The researchers found that all participants in the experiment successfully mastered the manipulator and completed the task of moving the cubes by an average of 80%.
When a person moves or is just about to do so, neurons in the motor area of the brain generate tiny electrical impulses, and when he thinks about the next movement, a new block of neurons is triggered.
To turn these processes into the appropriate technology, it was necessary to pre-process the command signal. Once this was achieved, the participants in the experiment quickly learned to use the power of thought to activate the robotic arm and move individual objects with its help.