Kang, Min-Koo Cho, Hohyun Park, Han-Mu Jun, Sung Chan Yoon, Kuk-Jin 2024-01-20T01:03:15Z 2024-01-20T01:03:15Z 2021-09-05 2017-07 0003-6870 https://pubs.kist.re.kr/handle/201004/122556 Recent advances in three-dimensional (3D) video technology have extended the range of our experience while providing various 3D applications to our everyday life. Nevertheless, the so-called visual discomfort (VD) problem inevitably degrades the quality of experience in stereoscopic 3D (S3D) displays. Meanwhile, electroencephalography (EEG) has been regarded as one of the most promising brain imaging modalities in the field of cognitive neuroscience. In an effort to facilitate comfort with S3D displays, we propose a new wellness platform using EEG. We first reveal features in EEG signals that are applicable to practical S3D video systems as an index for VD perception. We then develop a framework that can automatically determine severe perception of VD based on the EEG features during S3D video viewing by capitalizing on machine-learning-based braincomputer interface technology. The proposed platform can cooperate with advanced S3D video systems whose stereo baseline is adjustable. Thus, the optimal S3D content can be reconstructed according to a viewer's sensation of VD. Applications of the proposed platform to various S3D industries are suggested, and further technical challenges are discussed for follow-up research. (C) 2017 Elsevier Ltd. All rights reserved. English ELSEVIER SCI LTD FATIGUE VERGENCE ACCOMMODATION 3-D PERCEPTION SHAPE A wellness platform for stereoscopic 3D video systems using EEG-based visual discomfort evaluation technology Article 10.1016/j.apergo.2017.02.022 1 APPLIED ERGONOMICS, v.62, pp.158 - 167 APPLIED ERGONOMICS 62 158 167 scie ssci scopus 000401206600016 2-s2.0-85015668025 Engineering, Industrial Ergonomics Psychology, Applied Engineering Psychology Article FATIGUE VERGENCE ACCOMMODATION 3-D PERCEPTION SHAPE Visual discomfort Stereoscopic 3D Wellness platform