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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
Authors
Hyungsup Moon
DGIST Authors
Moon, Hyungsup; Lee, Dooseok; Kim, Jonghyun
Advisor(s)
김종현
Co-Advisor(s)
Dooseok Lee
Issue Date
2020
Available Date
2020-06-23
Degree 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
DOI
10.22677/Theses.200000286474
Degree
Master
Department
Robotics Engineering
University
DGIST
Related Researcher
  • Author Lee, Doo Seok  
  • Research Interests CAGD(Computer Aided Geometric Design); Optimization; Smart Education; Machine Learning
Files:
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Collection:
Department of Robotics EngineeringThesesMaster


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