The system works on the basis of electroencephalography (EEG) and reads the activity of the brain through a special hat with sensor. Developed machine learning algorithms analyze neural signals by recognizing the user’s intention to rotate or progress.
The most important advantage of technology is its poverty. Unlike similar developments that require surgical intervention, only external sensors are used here. The system automatically adapts to the individual characteristics of each user’s brain activity, which increases the accuracy of control.
Development is based on modern cybernetic neurobiology methods, a new scientific aspect that combines neurobiology and management theory. Scientists have created special mathematical models that allow you to correctly interpret the signals of the brain and convert them into commands for electric wheel drives.
Source: Ferra
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