Universal Brain-Computer Interface Lets People Play Games With Just Their Thoughts

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University of Texas President Jay Hartzell | University of Texas at Austin

AUSTIN, Texas - Engineers at The University of Texas at Austin have developed a groundbreaking brain-computer interface that allows individuals to play games using only their thoughts. The research, aimed at improving the lives of people with motor disabilities, incorporates machine learning capabilities, making it a one-size-fits-all solution.

Satyam Kumar, a graduate student involved in the project, highlighted the significance of this new technology, stating, "When we think about this in a clinical setting, this technology will make it so we won’t need a specialized team to do this calibration process, which is long and tedious."

Published in PNAS Nexus, the research focuses on a calibration-free interface that self-calibrates through repetition, eliminating the need for extensive individual tuning. This advancement allows multiple patients to use the device without the requirement for personalized calibration.

Lead researcher José del R. Millán emphasized the dual purpose of the technology, explaining, "On the one hand, we want to translate the BCI to the clinical realm to help people with disabilities; on the other, we need to improve our technology to make it easier to use so that the impact for these people with disabilities is stronger."

The study involved tasks such as a car racing game and balancing a digital bar, demonstrating the interface's ability to translate brain waves into commands without the need for lengthy calibration processes. Millán described the work as foundational, setting the stage for further innovation in brain-computer interfaces.

Moving forward, the team plans to test the technology on individuals with motor impairments, aiming to apply it in clinical settings to benefit a larger population. Additionally, ongoing research includes the development of a brain-computer interface-driven wheelchair and the control of rehabilitation robots for hand and arm movements.

Millán concluded by reaffirming the ultimate goal of the technology, stating, "The point of this technology is to help people, help them in their everyday lives. We’ll continue down this path wherever it takes us in the pursuit of helping people."