Pubudu N. Pathirana - Human Motion Capture and Identification for Assistive Systems Design in Rehabilitation

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HUMAN MOTION CAPTURE AND IDENTIFICATION FOR ASSISTIVE SYSTEMS DESIGN IN REHABILITATION
A guide to the core ideas of human motion capture in a rapidly changing technological landscape Human Motion Capture and Identification for Assistive Systems Design in Rehabilitation
Human Motion Capture and Identification for Assistive Systems Design in Rehabilitation

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3 Chapter 3Figure 3.1 Block diagram of the algorithm.Figure 3.2 RMSE of the estimated angle.Figure 3.3 The error in estimated angle against the uncertainty bias ( картинка 7).Figure 3.4 The RMSE subjected to introduced noise.Figure 3.5 Percentage improvement due to quaternion optimisation.Figure 3.6 Experiment setup and procedure: the sensor and marker are worn on...Figure 3.7 RMSE in angle estimation for forward extension exercise in compar...Figure 3.8 Filter performance comparison: RMSE in angle estimation for the u...

4 Chapter 4Figure 4.1 Position of phalangeal joints. Source: Trieu Pham.Figure 4.2 For a fixed base position of the metacarpal phalangeal joint картинка 8, t...Figure 4.3 The Creative Senz3D Camera. Source: Trieu Pham.Figure 4.4 Setup of the measurement system.Figure 4.5 Geometry model of the finger.Figure 4.6 Simulation results for accuracy improvement of the TAM and PIP.Figure 4.7 The left hand of the man was measured by our system. Source: Trie...Figure 4.8 Extension and flexion positions of the hand in the tracking appli...Figure 4.9 Parametric description for the index finger.Figure 4.10 Simulation of a reachable space of fingertips for a normal hand ...Figure 4.11 Finger model in the finger plane.Figure 4.12 Reachable space of fingertips in two dimensions is built using b...Figure 4.13 Measurement results of three declination angles of the index fin...Figure 4.14 Measurement results of three declination angles are represented ...Figure 4.15 Measurement results represented in the form of a reachable space...Figure 4.16 The task‐specific sub‐spaces associated with the task‐specific p...Figure 4.17 Range of movements of participants 6, 7 and 10 and the functiona...Figure 4.18 Range of movements of the 6th, 7th and 10th participants and the...

5 Chapter 5Figure 5.1 I/Q Imbalance simulation and results evaluation.Figure 5.2 (a) One‐dimensional filter bank for wavelet transformation; (b) m...Figure 5.3 Doppler radar system and signal processing flow. Source: Yee Sion...Figure 5.4 Environment setup for seated position experiments using Gu [126]....Figure 5.5 Breathing patterns from a voluntary asthmatic subject (datas 1 an...Figure 5.6 Ratio of breathing components.Figure 5.7 DTW evaluation.Figure 5.8 Normal breathing signal (from top to bottom): raw radar signal; f...Figure 5.9 Spectral density (FFT) and continuous wavelet transform for norma...Figure 5.10 Normalised respiration belt signal versus normalised filtered ra...Figure 5.11 Spectral density (FFT) and continuous wavelet transform (CWT) pl...Figure 5.12 Spectral density (FFT) and continuous wavelet transform for Chey...Figure 5.13 Spectral density (FFT) and continuous wavelet transform (CWT) pl...Figure 5.14 Cheyne‐Stokes breathing signal (from top to bottom): raw radar s...Figure 5.15 Spectral density (FFT) and continuous wavelet transform (CWT) pl...Figure 5.16 Mixture of signal characteristic from Doppler radar measurement ...Figure 5.17 Experiment 1: deep breaths followed by apnoea: (a) filtered rada...Figure 5.18 Experiment 2: normal breaths followed by deep breaths: (a) filte...Figure 5.19 Experiment 3: deep breaths followed by normal breaths: (a) filte...Figure 5.20 Scatterplot between a radar signal and spirometer reading: (from...Figure 5.21 Environment setup for experiment trials.Figure 5.22 Analysis of DWT: (a) signal mixture of breathing, apnoea and jer...Figure 5.23 (a) DWT analysis of breathing with jerking of the hand interfere...Figure 5.24 Performance evaluation of DWT: (a) DB10 wavelet; (b) various typ...Figure 5.25 Experiment setup, signal processing flow and experiment protocol...Figure 5.26 Two simulated sources with normal breathing captured from Dopple...Figure 5.27 Two source breathing signals captured from Doppler radar modules...Figure 5.28 Pictorial representation of the performance evaluation on FastIC...Figure 5.29 A mixture of breathing signals with hand motion (swinging of the...

Guide

1 Cover

2 Title Page Human Motion Capture and Identification for Assistive Systems Design in Rehabilitation Pubudu N. Pathirana Saiyi Li Yee Siong Lee Trieu Pham

3 Table of Contents

4 Begin Reading

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Human Motion Capture and Identification for Assistive Systems Design in Rehabilitation

Pubudu N. Pathirana

Saiyi Li

Yee Siong Lee

Trieu Pham

This edition first published 2021 2021 John Wiley Sons Ltd All rights - фото 9

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