Sparse detection from multi-channel surface electroencephalogram response to visual stimuli

2017 Fiscal Year Final Research Report

• Project/Area Number: 15H04002
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Communication/Network engineering
• Research Institution: Tokyo University of Agriculture and Technology
• Principal Investigator: Tanaka Toshihisa 東京農工大学, 工学(系)研究科(研究院), 准教授 (70360584)
• Co-Investigator(Kenkyū-buntansha): 曹 建庭 埼玉工業大学, 工学部, 教授 (20306989) ; 東 広志 豊橋技術科学大学, 工学(系)研究科(研究院), 助教 (70734474)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 脳波 / BCI / 信号処理 / 視覚刺激

Outline of Final Research Achievements

When a human gazes at a visual stimulus such as on/off flashing, this optical stimulus stimulates the retina that translate the stimulus to electrical signal, which reaches the occipital area in the cerebral cortex. This electrical signal can be observed as the change of electrical potential by attaching electrodes on the head surface. This observed signal is called surface electroencephalogram (EEG). When multiple patterns of visual stimuli are presented on screen, if a human gazes at one of the stimuli, it is possible to identify the stimulus that the human is gazing at. This technique makes it possible to control a device or a machine. This is called a brain-computer interface (BCI). To implement BCI accurately, it is necessary to establish a method for detect the target only from the observed EEG. In this project, we utilized sparse signal processing to address this problem. We were successful in establishing an accurate detection of visual stimulus from the EEG.

Free Research Field

信号処理工学