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Journal of Graphics ›› 2024, Vol. 45 ›› Issue (3): 624-630.DOI: 10.11996/JG.j.2095-302X.2024030624

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The regularity of cognitive response to image perception based on EEG information and its quantitative analysis method

YI Peng(), TIAN Xinghui, LIU Guangdou, WEI Qingbing, WANG Shuai, LIU Yancong   

  1. School of Mechanical and Electrical Engineering, China University of Petroleum, Qingdao Shandong 266580, China
  • Received:2023-09-28 Accepted:2023-12-29 Online:2024-06-30 Published:2024-06-12
  • About author:

    YI Peng (1983-), associate professor, Ph.D. His main research interests cover intelligent manufacturing, ocean engineering equipment and virtual reality. E-mail:yipupc@163.com

  • Supported by:
    Key Project of Undergraduate Teaching Reform of Shandong Province in 2023(Z2023250);2021 Shandong Graduate Education Teaching Reform Research Project(SDYJS21067);2022 China University of Petroleum (East China) Graduate Excellent Demonstration Course Construction Project(UPCYJP-2022-02);China Higher Education Association 2023 Higher Education Scientific Research Project(23XXK0408)

Abstract:

“Images” serve as an important medium for human perception of the world, and image perception is a key channel for the effective conversion between planar elements and three-dimensional forms in cognitive thinking. However, the process of human brain accepting image input, completing cognitive processing, and realizing knowledge output is an interdisciplinary discipline between cognitive psychology and brain science, which lacks sufficient research methods and theoretical basis at present. Therefore, in view of the unclear cognitive process of image perception and the lack of cognitive analysis methods, the EEG cognitive test experiment were designed. These experiments analyzed the changes in P300 potential based on the theory of brain potential correlation of cognitive events, and two-dimensional projection map and three-dimensional model as the cognitive objects of image perception. The results demonstrated that the relevant parts of image perception were mainly in the left frontal lobe of the brain. The P300 potential value could be employed to reflect the cognitive degree of the brain’s image perception. The stronger the brain’s ability to accept the image content, the lower the P300 potential peak value. By comparing the P300 potential changes of different samples, the cognitive process of image perception could be analyzed to form a quantitative analysis method for the cognitive ability of image perception, improve the input efficiency of the cognitive content of image perception to the brain, and shed light on the input and cognitive mechanism of image perception, providing an effective basis for the application of feedback optimization in the depth of image interaction.

Key words: image perception, brain waves, P300 potential, brain electrical activity mapping, EEG experiment

CLC Number: