The modeling of human sensation in virtual environments.

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.iiiList of Figures --- p.viList of Tables --- p.ixChapter 1 --- Introduction --- p.1Chapter 1.1 --- Motivation --- p.1Chapter 1.2 --- Related Work --- p.3Chapter 1.2.1 --- Empirical Psychophysical Equations --- p.3Chapter 1.2.2 --- Industry Standards --- p.4Chapter 1.2.3 --- Fuzzy Logic --- p.4Chapter 1.2.4 --- Neural Networks --- p.5Chapter 1.3 --- Organization of Thesis --- p.7Chapter 2 --- Experimental Design --- p.9Chapter 2.1 --- Human Motion Sense --- p.9Chapter 2.2 --- Full-Body Motion Virtual Reality System --- p.12Chapter 2.3 --- Human Sensation Measure --- p.15Chapter 2.4 --- Trajectory Segmentation --- p.16Chapter 3 --- Learning and Validation of Human Sensation Models --- p.22Chapter 3.1 --- Cascade Neural Networks --- p.23Chapter 3.1.1 --- Dynamic Mapping --- p.26Chapter 3.2 --- Experimental Trajectory Data --- p.26Chapter 3.3 --- Effect of Trajectory Segmentation --- p.31Chapter 3.4 --- Model Validation --- p.32Chapter 3.5 --- Similarity Measure --- p.33Chapter 3.6 --- Similarity Measure Results --- p.38Chapter 4 --- Input Reduction for Human Sensation Modeling --- p.40Chapter 4.1 --- Introduction --- p.40Chapter 4.2 --- Input Reduction --- p.41Chapter 4.3 --- Feature Extraction and Input Selection --- p.42Chapter 4.4 --- Feature Extraction Using Principal Component Analysis --- p.44Chapter 4.5 --- Independent Component Analysis --- p.48Chapter 4.5.1 --- Measure of Gaussianity --- p.50Chapter 4.5.2 --- The Fixed Point ICA Algorithm --- p.51Chapter 4.6 --- Input Reduction Using Independent Component Analysis --- p.52Chapter 4.6.1 --- ICA Without Dimension Reduction --- p.52Chapter 4.6.2 --- Feature Extraction Using ICA --- p.55Chapter 4.6.3 --- Input Selection Using ICA --- p.57Chapter 4.6.4 --- Applying Input Selection by ICA on the Furnace Data --- p.58Chapter 4.6.5 --- Applying Input Selection by ICA to Sensation Modeling --- p.65Chapter 4.6.6 --- Cross Verification of Selected Inputs --- p.70Chapter 4.7 --- Summary on Input Reduction for Human Sensation Modeling --- p.72Chapter 5 --- Stimulus Modification Based on Human Sensation --- p.74Chapter 5.1 --- Need for Stimulus Modification --- p.74Chapter 5.2 --- Sensation Grades --- p.75Chapter 5.3 --- Trajectory Modification Scheme --- p.77Chapter 5.4 --- Experiments --- p.80Chapter 6 --- Conclusion --- p.86Chapter 6.1 --- Contributions --- p.86Chapter 6.2 --- Future Work --- p.87Chapter A --- Platform Model --- p.88Chapter A.1 --- Inverse Kinematics --- p.90Chapter A.2 --- Forward Kinematics --- p.93Chapter A.3 --- Platform Dynamics --- p.99Bibliography --- p.10

Can virtual reality predict body part discomfort and performance of people in realistic world for assembling tasks?

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