2015 Fiscal Year Final Research Report
Development of high-speed EEG character input system by visual stimulus series based on code theory
| Project/Area Number |
25330224
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Human interface and interaction
|
|---|
| Research Institution | Yamagata University |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2013-04-01 – 2016-03-31
|
| Keywords | ブレインコンピュータインターフェイス / 脳波 / 刺激パターン符号化 / 視覚刺激間隔 |
|---|
| Outline of Final Research Achievements |
This is the research to input a character into computers by EEG with high speed.
In conventional P300 speller, on the condition that users are instructed to perform a task such as counting the number of lighting, candidate characters light up with one row or one column randomly and character identification is done by P300. We proposed the method to shorten a required time for identification with high accuracy. In this method, we conceived an ideal for the stimulus presentation which maximize differences of stimulus patterns assigned to each character without persisting a way of stimulus presentation based on unit of row/column. As a result, the number of input characters by using our method showed approximately 2.7 times larger than the conventional speller.
|
| Free Research Field |
生体情報処理，医用画像処理
|
