Sole selection among 124 papers in the official journal of the IEEE Sensors Council

On September 18, a wearable brain-computer interface(BCI) paper co-developed by Professor Im Chang-hwan's biomedical engineering team at Hanyang University and Researcher Oh Eun-kyu from the Digital Health Team, MX Division, Samsung Electronics, was announced as the only featured paper among 124 articles in the IEEE Sensors Journal(Issue 18, 2025), the official publication of the IEEE Sensors Council.

The joint research team developed a wearable device in the form of an earset that measures electroencephalogram(EEG) signals around the ear from 2023 to 2024. Existing ‘Ear-EEG’ devices have been introduced before, but few have achieved all three elements: comfort, design, and high performance; so successful market products are rare.

By attaching electrodes to 11 points around the ear and quantitatively analyzing EEG sensitivity, the team identified the three optimal positions for high-quality signals. Based on this, they produced an earset prototype with improved comfort and wearable design, which was validated in two practical application scenarios.

(Left) Photo of electrode placement during an experiment to find optimal location; (Right) developed EEG earset prototype 
(Left) Photo of electrode placement during an experiment to find optimal location; (Right) developed EEG earset prototype 

In the first experiment, the video preference analysis experiment, 14 participants wore the earset while watching two short videos; the EEG data combined with AI technology enabled up to 92.86% accuracy in distinguishing preferred videos. This technology can be applied in neuromarketing to assess viewer responses to short videos like ads or movie trailers.

In another experiment, the somnolence detection experiment, 15 university students watched monotonous videos for an extended time to induce drowsiness. EEG analysis from the earset allowed the team to accurately estimate the onset of somnolence in 12 participants. This technology shows promise for real-time detection of lapses in focus or drowsiness during online learning, enhancing educational effectiveness.

Professor Im Chang-hwan stated, “This study is a valuable example of academic recognition for collaborative university–industry research.” He added, “The developed technology holds potential to expand beyond education and marketing to fields like entertainment and mental health management.”

The paper, Development of a New Around-the-Ear Electroencephalography Device for Passive Brain-Computer Interface Applications, lists doctoral student Kim Min-su(Hanyang University) and researcher Oh Eun-kyu(Samsung Electronics) as co-first authors, with Samsung researchers Kim Yu-seong, Kim Seon-ho, Park Da-som, and Hanyang doctoral students Kim Jeong-hwan and Kim Soo-hye included as co-authors. The corresponding authors are Professor Im Chang-hwan(Hanyang University) and Researcher Ahn Hyun-jin(Samsung Electronics).

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