Ybrain proposes context-based adaptive interfacing at International BCI Meeting in Korea

Ybrain said Tuesday that CEO Lee Ki-won attended the meeting of the BCI International Standardization Committee (ISO/IEC JTC1 SC43) at the Gachon University Convention Center in Seongnam, Gyeonggi Province, held from March 3 to 6, as a representative speaker from Korea. During the event, he proposed guidelines for context-based adaptive interfacing technology for multi-purpose BCI systems.

Over 70 technical standards experts from nine countries, including the U.S., China, and India, attended the BCI (brain-computer interface) meeting, held for the first time in Korea. Korea played a central role in the discussions by proposing a new international standard, Ybrain said.

The context-based adaptive interfacing proposed by CEO Lee is a technology that automatically adjusts the optimal operation method and interface by analyzing the user's condition and surrounding environment in real-time.

Existing medical BCI systems are one-dimensional, causing inconvenience for users. For instance, operations become difficult when the user is fatigued, the system can be affected by external factors like lighting or noise, and the interface remains fixed when launching new applications, which limits usability.

The adoption of context-based adaptive interfacing technology is expected to streamline the BCI development process and enhance compatibility between different vendors. Specifically, if designed to integrate with various healthcare systems, including private and national insurance, it could accelerate the adoption of new medical technologies and maximize market viability, Lee predicted.

Lee explained that Ybrain's electroceutical for depression, MINDD STIM, which utilizes non-invasive BCI based on brain stimulation technology, is actively prescribed in an average of 4,500 cases per month on a non-reimbursement basis across various hospitals in Korea, including tertiary hospitals. He also highlighted that the company is developing an advanced rehabilitation solution that combines invasive and non-invasive BCI technology with AI to create a wearable robot designed to assist quadriplegic patients in regaining mobility.

“We will continue to innovate BCI technology and drive the development of next-generation BCI systems, including context-based adaptive interfacing, to enhance the practicality of BCI across healthcare and industry, while strengthening our competitiveness in the global market,” said Lee.