Human Motion Capture and Identification for Assistive Systems Design in Rehabilitation 1st Edition by Pubudu N Pathirana, Saiyi Li Yee Siong Lee, Trieu Pham ISBN 1119515076 9781119515074

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ISBN 10: 1119515076
ISBN 13: 9781119515074
Author: Pubudu N Pathirana, Saiyi Li Yee Siong Lee, Trieu Pham

Human Motion Capture and Identification for Assistive Systems Design in Rehabilitation aims to fill a gap in the literature by providing a link between sensing, data analytics, and signal processing through the characterisation of movements of clinical significance. As noted experts on the topic, the authors apply an application-focused approach in offering an essential guide that explores various affordable and readily available technologies for sensing human motion.

The book attempts to offer a fundamental approach to the capture of human bio-kinematic motions for the purpose of uncovering diagnostic and severity assessment parameters of movement disorders. This is achieved through an analysis of the physiological reasoning behind such motions. Comprehensive in scope, the text also covers sensors and data capture and details their translation to different features of movement with clinical significance, thereby linking them in a seamless and cohesive form and introducing a new form of assistive device design literature. This important book:

Offers a fundamental approach to bio-kinematic motions and the physiological reasoning behind such motions

Includes information on sensors and data capture and explores their clinical significance

Links sensors and data capture to parameters of interest to therapists and clinicians

Addresses the need for a comprehensive coverage of human motion capture and identification for the purpose of diagnosis and severity assessment of movement disorders

Written for academics, technologists, therapists, and clinicians focusing on human motion, Human Motion Capture and Identification for Assistive Systems Design in Rehabilitation provides a holistic view for assistive device design, optimizing various parameters of interest to relevant audiences

Human Motion Capture and Identification for Assistive Systems Design in Rehabilitation 1st Edition Table of contents:

1 Introduction

1.1 Human Body – Kinematic Perspective

1.2 Musculoskeletal Injuries and Neurological Movement Disorders

1.3 Sensors in Telerehabilitation

1.4 Model‐based State Estimation and Sensor Fusion

1.5 Human Motion Encoding in Telerehabilitation

1.6 Patients’ Performance Evaluation

2 Kinematic Performance Evaluation with Non‐wearable Sensors

2.1 Introduction

2.2 Fusion

2.3 Encoder

2.4 ADL Kinematic Performance Evaluation

2.5 Summary

3 Biokinematic Measurement with Wearable Sensors

3.1 Introduction

3.2 Introduction to Quaternions

3.3 Wahba’s Problem

3.4 Quaternion Propagation

3.5 MARG (Magnetic Angular Rates and Gravity) Sensor Arrays‐based Algorithm

3.6 Model‐based Estimation of Attitude with IMU Data

3.7 Robust Optimisation‐based Approach for Orientation Estimation

3.8 Implementation of the Orientation Estimation

3.9 Computer Simulations

3.10 Experimental Setup

3.11 Results and Discussion

3.12 Conclusion

4 Capturing Finger Movements

4.1 Introduction

4.2 System Overview

4.3 Accuracy Improvement of Total Active Movement and Proximal Interphalangeal Joint Angles

4.4 Simulation

4.5 Trial Procedure

4.6 Results

4.7 Discussions

4.8 Approaching Finger Movement with a New Perspective

4.9 Reachable Space

4.10 Boundary of the Reachable Space

4.11 Area of the Reachable Space

4.12 Experiments

4.13 Results and Discussion

4.14 Conclusion and Future Work

5 Non‐contact Measurement of Respiratory Function via Doppler Radar

5.1 Introduction

5.2 Fundamental Operation of Microwave Doppler Radar

5.3 Signal Processing Approach

5.4 Common Data Acquisitions Setup

5.5 Capturing the Dynamics of Respiration

5.6 Capturing Special Breathing Patterns

5.7 Removal of Motion Artefacts from Doppler Radar‐based Respiratory Measurements

5.8 Separation of Doppler Radar‐based Respiratory Signatures

6 Appendix

6.1 Static Estimators

6.2 Model‐based Estimators

6.3 Particle Filter

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Tags: Pubudu N Pathirana, Saiyi Li Yee Siong Lee, Trieu Pham, Human Motion Capture, Assistive Systems