Presentation 2019-06-17
Evaluation of relationship between EEG and visual field characteristics in visual cognition
Tatsuya Maruno, Kota Yamamoto, Keiichiro Inagaki,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The brain processes numerous information related to scenes for appropriate cognition and judgement in daily life. Here, the strategy for cognition and judgement is individually different due to distribution of attention and its reflected eye movements. In the present work, we focus on task proficiency and measure human brain activities (EEG: Electroencephalogram) and eye movement during visual cognition task to clarify the relationship between them. In the experiment, several driving scenes are utilized as a visual cognition task. EEGs and eye movements were recorded from 16 healthy subjects (15 males and 1female) aged from 20 to 23 years with having normal vision or corrected to normal with glasses or contact lenses using different three types of driving scenes (Scene-A: with traffic jam, Scene-B: in urban area, and Scene-C, in highway). The subjects classified into expert or beginner based on their frequency of driving a vehicle. First, we analyzed eye movement in expert and beginner subjects during the task. We confirmed that expert subjects have wider field of view than beginners. It indicated that an attention map of experts is wider than one of beginners. We also confirmed that significant higher alpha activity and lower beta activity was observed in the expert subjects, and vice versa in the beginner subjects. Those results indicate the possibility that range of field of view is predictable from the brain activity: the high alpha and low beta activity related to wider field of view, and vice versa.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) EEGEEG / Eye movements / visual cognition / attention
Paper # NC2019-6
Date of Issue 2019-06-10 (NC)

Conference Information
Committee NC / IBISML / IPSJ-MPS / IPSJ-BIO
Conference Date 2019/6/17(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Institute of Science and Technology
Topics (in Japanese) (See Japanese page)
Topics (in English) Neurocomputing, Machine Learning Approach to Biodata Mining, and General
Chair Hayaru Shouno(UEC) / Hisashi Kashima(Kyoto Univ.) / Masakazu Sekijima(Tokyo Tech) / Hiroyuki Kurata(Kyutech)
Vice Chair Kazuyuki Samejima(Tamagawa Univ) / Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo)
Secretary Kazuyuki Samejima(NAIST) / Masashi Sugiyama(NTT) / Koji Tsuda(Nagoya Inst. of Tech.) / (AIST) / (Nagoya Univ.)
Assistant Takashi Shinozaki(NICT) / Ken Takiyama(TUAT) / Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Neurocomputing / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / IPSJ Special Interest Group on Mathematical Modeling and Problem Solving / IPSJ Special Interest Group on Bioinformatics and Genomics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of relationship between EEG and visual field characteristics in visual cognition
Sub Title (in English)
Keyword(1) EEGEEG
Keyword(2) Eye movements
Keyword(3) visual cognition
Keyword(4) attention
1st Author's Name Tatsuya Maruno
1st Author's Affiliation Chubu University(Chubu Univ)
2nd Author's Name Kota Yamamoto
2nd Author's Affiliation Chubu University(Chubu Univ)
3rd Author's Name Keiichiro Inagaki
3rd Author's Affiliation Chubu University(Chubu Univ)
Date 2019-06-17
Paper # NC2019-6
Volume (vol) vol.119
Number (no) NC-88
Page pp.pp.27-27(NC),
#Pages 1
Date of Issue 2019-06-10 (NC)