A study of quadratic discriminant analysis-based motor imagery classification using functional near- infrared spectroscopy
- Title
- A study of quadratic discriminant analysis-based motor imagery classification using functional near- infrared spectroscopy
- Alternative Title
- 기능적 근적외선 분광법을 이용한 2차 판별분석 기반 운동 상상 상태 분류에 관한 연구
- Author(s)
- Seungjun Lee
- DGIST Authors
- Seungjun Lee ; Okkyun Lee ; Kyonghwan Jin
- Advisor
- 이옥균
- Co-Advisor(s)
- Kyonghwan Jin
- Issued Date
- 2024
- Awarded Date
- 2024-02-01
- Type
- Thesis
- Description
- 뇌-컴퓨터 인터페이스; 근적외선 분광기; 신호처리; 선형 판별 분석; 부분공간방법
- Table Of Contents
-
Abstract i
List of contents ii
List of figures iii
Ⅰ. Introduction 1
Ⅱ. Background · 3
1. Modified Beer-Lambert Law (MBLL) 3
2. Temporal derivative distribution repair (TDDR) · 4
3. Mutual Subspace method (MSM) · 5
4. Linear discriminant analysis (LDA) · 6
Ⅲ. Method 8
1. Data acquisition 8
2. Data pre-processing 9
3. Conventional methods · 10
3.1 Statistical feature extraction for LDA 10
3.2 Mutual Subspace Method (MSM) · 11
4. Proposed Method · 11
5. Performance evaluation 13
Ⅳ. Result 14
Ⅴ. Conclusion 16
Ⅵ. Reference · 17
- URI
-
http://hdl.handle.net/20.500.11750/48070
http://dgist.dcollection.net/common/orgView/200000731466
- Degree
- Master
- Publisher
- DGIST
- Related Researcher
-
-
Lee, Okkyun
- Research Interests Diffuse optical tomography; Functional brain imaging; Compressed sensing; Photon counting CT
-
- Files in This Item:
-
There are no files associated with this item.
- Appears in Collections:
- Department of Robotics and Mechatronics Engineering Theses Master
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.