Toward Individualized Adaptive Robot-aided Training for Reaching Task: a Simulation Study
- Title
- Toward Individualized Adaptive Robot-aided Training for Reaching Task: a Simulation Study
- Author(s)
- Hyungsup Moon
- DGIST Authors
- Lee, Dooseok ; Moon, Hyungsup ; Kim, Jonghyun
- Advisor
- 김종현
- Co-Advisor(s)
- Dooseok Lee
- Issued Date
- 2020
- Awarded Date
- 2020-02
- Type
- Thesis
- Description
- Rehabilitation, Individualized Training, Reaching Task, Robot-aided training
- Table Of Contents
-
Ⅰ. Introduction
1.1 Upper Limb Rehabilitation of Post-Stroke 1
1.2 Robot-aided Training and Individualization 2
1.3 Previous Studies 3
1.4 Individualized Adaptive Training for Reaching Task 3
1.5 Study Goal 5
IⅠ. Adaptation Policies
2.1 Reaching Task Workspace 6
2.2 Reaching Task Priorities 7
2.3 Proposed Policies 7
2.3.1 Weight Law 7
2.3.2 ϵ-Weight Law 8
2.4 Assessment Policies 9
2.4.1 Assessment Distribution 10
2.4.2 Assessment Recovery 10
2.5 Control Policies 10
2.5.1 Ideal 10
2.5.2 Random 11
IIⅠ. Simulation
3.1 Simulation Scheme 12
3.2 Recovery Model 12
3.3 Evaluation Index 13
3.4 Termination Condition 14
3.5 Virtual Patients with Noise Conditions 14
3.6 Programming Tools and Data Analysis 15
IV. Result
4.1 Skewed Patient 16
4.2 Distributed Patient 17
V. Discussion 19
VI. Conclusion 22
Reference 23
- URI
-
http://dgist.dcollection.net/common/orgView/200000286474
http://hdl.handle.net/20.500.11750/11961
- Degree
- Master
- Department
- Robotics Engineering
- Publisher
- DGIST
- Related Researcher
-
-
Lee, Doo Seok 교양학부
- Research Interests CAGD(Computer Aided Geometric Design); Optimization; Smart Education; Machine Learning
-
- Files in This Item:
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- Appears in Collections:
- Department of Robotics and Mechatronics Engineering Theses Master
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