Samsung, in collaboration with the Department of Biomedical Engineering at Hanyang University in South Korea, is developing a wearable device called Ear-EEG, an electroencephalograph in the form of an earphone that is worn around the ear and records the electrical activity of the brain.
Unlike the Galaxy Buds, which do not support biometric tracking, Ear-EEG transmits brain activity signals through a brain-computer interface and is designed for everyday use.
Samsung outlines two application scenarios. The first is to detect drowsiness and monitor a user's decline in concentration over time; the company suggests using this data to study learning behavior and improve educational approaches.
The second area concerns assessing reactions to content. According to the developers, when combined with artificial intelligence algorithms, Ear-EEG is able to determine whether a person likes a video with an accuracy of up to 92.86%.
Research related to this technology has already been published in the peer-reviewed IEEE Sensors Journal. Several prototypes of the device have been presented, but the timing of its possible market launch remains unknown.
In parallel with its neurotechnology developments, Samsung is developing the direction of cardiovascular disease monitoring. In collaboration with Korean company Medical AI, it is integrating artificial intelligence algorithms into its smartwatches to detect left ventricular systolic dysfunction (LVSD), a condition that causes about half of all cases of heart failure.
The technology is based on Medical AI's internal algorithm for analyzing 12-lead ECG and allows for screening even in people without symptoms, which can reduce hospitalizations and treatment costs. The company emphasizes that this feature will be part of a broader strategy for prevention and personalized health, where wearable devices act as early warning tools.