A wellness platform for stereoscopic 3D video systems using EEG-based visual discomfort evaluation technology

Autor: Kuk-Jin Yoon, Han-Mu Park, Min-Koo Kang, Hohyun Cho, Sung Chan Jun
Rok vydání: 2017
Předmět:
Adult
Male
Engineering
Support Vector Machine
Interface (computing)
media_common.quotation_subject
Video Recording
Vision Disorders
Visual Discomfort
Physical Therapy
Sports Therapy and Rehabilitation
Human Factors and Ergonomics
Stereoscopy
Electroencephalography
Cognitive neuroscience
050105 experimental psychology
law.invention
Young Adult
03 medical and health sciences
Imaging
Three-Dimensional
0302 clinical medicine
law
Perception
medicine
Humans
0501 psychology and cognitive sciences
Computer vision
Quality of experience
Safety
Risk
Reliability and Quality
Engineering (miscellaneous)
media_common
Depth Perception
Modalities
medicine.diagnostic_test
business.industry
05 social sciences
Signal Processing
Computer-Assisted
Consumer Behavior
Visual Perception
Artificial intelligence
business
030217 neurology & neurosurgery
Zdroj: Applied Ergonomics. 62:158-167
ISSN: 0003-6870
DOI: 10.1016/j.apergo.2017.02.022
Popis: 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.
Databáze: OpenAIRE
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