Development of DOT-based fNIRS-BCI technology with high recognition rate
- Title
- Development of DOT-based fNIRS-BCI technology with high recognition rate
- Author(s)
- Taiin Eom
- DGIST Authors
- Taiin Eom ; Okkyun Lee ; Sungho Tak
- Advisor
- 이옥균
- Co-Advisor(s)
- Sungho Tak
- Issued Date
- 2023
- Awarded Date
- 2023-02-01
- Type
- Thesis
- Description
- fNIRS-BCI, Tomography
- Table Of Contents
-
I. INTRODUCTION 1
II. METHOD 2
2.1 Data acquisition 2
2.1.1 fNIRS data 2
2.1.2 Head model coordinate 2
2.2 Participants 3
2.3 Experience protocol 3
2.4 Signal Processing 4
2.5 Sensing Matrix 4
2.6 Tikhonov Regularization 5
2.7 Feature extraction & Classification 6
III. RESULTS 7
IV. DISCUSSION & CONCLUSION 9
V. REFERENCES 10
- URI
-
http://hdl.handle.net/20.500.11750/45783
http://dgist.dcollection.net/common/orgView/200000657930
- Degree
- Master
- Publisher
- DGIST
- Related Researcher
-
-
Lee, Okkyun
- Research Interests Diffuse optical tomography; Functional brain imaging; Compressed sensing; Photon counting CT
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- Files in This Item:
-
There are no files associated with this item.
- Appears in Collections:
- Department of Robotics and Mechatronics Engineering Theses Master
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