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Pubudu N. Pathirana
Human Motion Capture and Identification for Assistive Systems Design in Rehabilitation
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Table of Contents
List of Tables
List of Illustrations
Guide
Pages
Human Motion Capture and Identification for Assistive Systems Design in Rehabilitation
Страница 8
1
Introduction 1.1 Human Body – Kinematic Perspective
1.2 Musculoskeletal Injuries and Neurological Movement Disorders
1.2.1 Musculoskeletal injuries
1.2.2 Neuromuscular disorders
Upper motor neurone disorders–
Lower motor neurone disorders – spinal muscular atrophies
Neuropathies
Neuromuscular junction disorders
1.3 Sensors in Telerehabilitation
1.3.1 Opto‐electronic sensing
1.3.2 RGB camera and microphone
1.3.3 Inertial measurement unit (IMU)
1.4 Model‐based State Estimation and Sensor Fusion
1.4.1 Summary and challenges
1.5 Human Motion Encoding in Telerehabilitation
1.5.1 Human motion encoders in action recognition
1.5.2 Human motion encoders in physical telerehabilitation
1.5.3 Summary and challenge
1.6 Patients' Performance Evaluation
1.6.1 Questionnaire‐based assessment scales
1.6.2 Automated kinematic performance assessment
1.6.3 Summary and challenge
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