BMI has unique features such as high processing speed, low power consumption, and ease of training. It can also be adapted to various applications such as speech recognition and gesture control.
According to scientists, the new data analysis method developed will allow us to extract important signals from the patient’s brain activity. With this new approach, the system can operate at much lower power and requires less training time. This makes it more accessible and easy to use.
The scientists plan to use the new BMI to develop a variety of applications, including speech recognition and motion control. They are also collaborating with other research groups to expand the applications of this technology.
Scientists hope to create a universal BMI that could be adapted to a variety of neurological diseases and offer patients a wide range of solutions.
Source: Ferra
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