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시각정보와 인지정보간의 연관관계 분석 모델 설계

Title
시각정보와 인지정보간의 연관관계 분석 모델 설계
Translated Title
Design of a Model for Correlation Analysis Between Visual and Cognitive Information
Authors
이진희박성민황종락박재형권순
DGIST Authors
이진희; 박재형; 권순
Issue Date
2019-11-16
Citation
2019 대한임베디드공학회 추계학술대회, 315-317
Type
Conference
ISBN
9788996655312
Abstract
Recently, with the development of artificial intelligence, DNN (Deep Neural Networks) has been developed, which greatly improves the visual classification performance of the machine. However, it is not still sufficient to keep up with the human’s vision level. In this paper, after defining the correlative architecture between DNN for vision information learning and DNN for BCI information learning, we designed an encoder-decoder algorithm that transforms visually-responsive EEG signals into meaningful images. This model is used to analyze EEG signals based on DNN which generates images depicting emotions similar to those seen by humans, and analyze the co-relationship between visual and brain cognitive information.
URI
http://hdl.handle.net/20.500.11750/14150
Publisher
대한임베디드공학회
Related Researcher
  • Author Kwon, Soon  
  • Research Interests computer vision; deep learning; autonomous driving; parallel processing; vision system on chip
Files:
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Collection:
Division of Automotive Technology2. Conference Papers


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