Brain-computer interfaces (BCIs) have been a topic of interest in recent years, as they hold immense potential to revolutionize the way we interact with technology. In simple terms, BCIs enable individuals to control devices using only their brain signals.
This technology has far-reaching implications for people living with paralysis or other motor disorders, allowing them to communicate and interact with the world around them in ways previously unimaginable.
BCIs typically involve a combination of electroencephalography (EEG) or functional near-infrared spectroscopy (fNIRS) sensors, which detect and interpret brain activity. This information is then translated into digital commands that can control devices such as computers, robots, or even prosthetic limbs.
The process begins with the user's brain signals being detected by the sensors, which are then processed using sophisticated algorithms to identify specific patterns and intentions.
The potential applications of BCIs are vast and varied. For instance, they could enable people with paralysis or ALS to communicate through written messages or even control their own wheelchairs.
Furthermore, BCIs have the potential to revolutionize industries such as healthcare, education, and entertainment by providing new avenues for interaction and engagement.