Ka Keung Caramon Lee. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 100-105). / Abstracts in English and Chinese. / Contents --- p.iii / List of Figures --- p.vi / List of Tables --- p.ix / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.1 / Chapter 1.2 --- Related Work --- p.3 / Chapter 1.2.1 --- Empirical Psychophysical Equations --- p.3 / Chapter 1.2.2 --- Industry Standards --- p.4 / Chapter 1.2.3 --- Fuzzy Logic --- p.4 / Chapter 1.2.4 --- Neural Networks --- p.5 / Chapter 1.3 --- Organization of Thesis --- p.7 / Chapter 2 --- Experimental Design --- p.9 / Chapter 2.1 --- Human Motion Sense --- p.9 / Chapter 2.2 --- Full-Body Motion Virtual Reality System --- p.12 / Chapter 2.3 --- Human Sensation Measure --- p.15 / Chapter 2.4 --- Trajectory Segmentation --- p.16 / Chapter 3 --- Learning and Validation of Human Sensation Models --- p.22 / Chapter 3.1 --- Cascade Neural Networks --- p.23 / Chapter 3.1.1 --- Dynamic Mapping --- p.26 / Chapter 3.2 --- Experimental Trajectory Data --- p.26 / Chapter 3.3 --- Effect of Trajectory Segmentation --- p.31 / Chapter 3.4 --- Model Validation --- p.32 / Chapter 3.5 --- Similarity Measure --- p.33 / Chapter 3.6 --- Similarity Measure Results --- p.38 / Chapter 4 --- Input Reduction for Human Sensation Modeling --- p.40 / Chapter 4.1 --- Introduction --- p.40 / Chapter 4.2 --- Input Reduction --- p.41 / Chapter 4.3 --- Feature Extraction and Input Selection --- p.42 / Chapter 4.4 --- Feature Extraction Using Principal Component Analysis --- p.44 / Chapter 4.5 --- Independent Component Analysis --- p.48 / Chapter 4.5.1 --- Measure of Gaussianity --- p.50 / Chapter 4.5.2 --- The Fixed Point ICA Algorithm --- p.51 / Chapter 4.6 --- Input Reduction Using Independent Component Analysis --- p.52 / Chapter 4.6.1 --- ICA Without Dimension Reduction --- p.52 / Chapter 4.6.2 --- Feature Extraction Using ICA --- p.55 / Chapter 4.6.3 --- Input Selection Using ICA --- p.57 / Chapter 4.6.4 --- Applying Input Selection by ICA on the Furnace Data --- p.58 / Chapter 4.6.5 --- Applying Input Selection by ICA to Sensation Modeling --- p.65 / Chapter 4.6.6 --- Cross Verification of Selected Inputs --- p.70 / Chapter 4.7 --- Summary on Input Reduction for Human Sensation Modeling --- p.72 / Chapter 5 --- Stimulus Modification Based on Human Sensation --- p.74 / Chapter 5.1 --- Need for Stimulus Modification --- p.74 / Chapter 5.2 --- Sensation Grades --- p.75 / Chapter 5.3 --- Trajectory Modification Scheme --- p.77 / Chapter 5.4 --- Experiments --- p.80 / Chapter 6 --- Conclusion --- p.86 / Chapter 6.1 --- Contributions --- p.86 / Chapter 6.2 --- Future Work --- p.87 / Chapter A --- Platform Model --- p.88 / Chapter A.1 --- Inverse Kinematics --- p.90 / Chapter A.2 --- Forward Kinematics --- p.93 / Chapter A.3 --- Platform Dynamics --- p.99 / Bibliography --- p.100
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323241 |
| Date | January 2000 |
| Contributors | Lee, Ka Keung Caramon., Chinese University of Hong Kong Graduate School. Division of Mechanical and Automation Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, x, 105 leaves : ill. ; 30 cm. |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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