Human motion capture and identification for assistive systems design in rehabilitation /
Pubudu N. Pathirana, Saiyi Li, Yee Siong Lee, Trieu Pham.
- 234 Pages. Illustrations; 25cm.
Includes Bibliographical References and Index.
1 Introduction 9 1.1 Human Body -- Kinematic Perspective 10 1.2 Musculoskeletal Injuries and Neurological Movement Disorders 11 1.2.1 Musculoskeletal injuries 11 1.2.2 Neuromascular disorders 12 1.3 Sensors in Tele-rehabilitation 15 1.3.1 Opto-electroic Sensing 15 1.3.2 RGB Camera and Microphone 20 1.3.3 Inertial Measurement Unit (IMU) 22 1.4 Model based state estimation and sensor fusion 24 1.4.1 Summary and challenges 24 1.5 Human Motion Encoding in Tele-rehabilitation 25 1.5.1 Human motion encoders in action recognition 25 1.5.2 Human motion encoder in physical tele-rehabilitation 26 1.5.3 Summary and challenge 27 1.6 Patients' Performance Evaluation 28 1.6.1 Questionnaire based assessment scales 28 1.6.2 Automated kinematic performance assessment 29 1.6.3 Summary and challenge 30 2 Kinematic Performance Evaluation with Non-wearable Sensors 5.2.1 Velocity and frequency 144 5.2.2 Correction of I/Q Amplitude and Phase Imbalance 146 5.3 Signal Processing Approach 149 5.3.1 Respiration rate 149 5.3.2 Extracting respiratory signatures 151 5.3.3 Low Pass Filtering (LPF) 153 5.3.4 Discrete Wavelet Transform 154 5.4 Common Data Acquisitions Setup 155 5.5 Capturing the dynamics of respiration 157 5.5.1 Normal Breathing 158 5.5.2 Fast Breathing 158 5.5.3 Slow Inhalation -- Fast Exhalation 158 5.5.4 Fast Inhalation -- Slow Exhalation 158 5.5.5 Capturing Abnormal Breathing Patterns 160 5.5.6 Breathing Component Decomposition,