2008 Final Year Project – 1st Term Report - The Chinese University ...

Department of Computer Science and Engineering, CUHK
2007 – 2008 Final Year Project – 1st Term Report
3.5.1.4.2 Discretization of attributes ........................................................................ 39
3.5.1.5 Pros and Cons among classifiers ....................................................................... 39
3.5.2 Euclidean Distance Algorithm ................................................................................. 40
3.5.2.1 Introduction ...................................................................................................... 40
3.5.2.2 Working Principle ............................................................................................. 40
3.5.2.3 Strengths and Weakness .................................................................................. 41
3.5.3 Dynamic Time Warping (DTW) ................................................................................ 41
3.5.3.1 Introduction ...................................................................................................... 41
3.5.3.2 Working Principle ............................................................................................. 42
3.5.3.3 Why Dynamic Time Warping? .......................................................................... 45
3.5.3.4 Strength and Weakness .................................................................................... 46
Chapter 4 Our Research ................................................................................... 47
4.1 Terminology .................................................................................................................... 48
4.2 The Design Structure ...................................................................................................... 48
4.3 Classification Working Flow ............................................................................................ 50
4.4 Chosen Weapon – dao ................................................................................................... 51
4.5 Chosen Data Representation – Raw Format .................................................................. 51
4.6 Chosen Data Preprocessing – None ............................................................................... 51
4.7 Chosen Algorithm – Dynamic Time Warping ................................................................. 52
4.7.1 Why Dynamic Time Warping is selected? ............................................................... 52
4.7.2 Initial coding – Used Dynamic Time Warping wrongly ............................................ 52
4.7.3 Extension of Dynamic Time Warping ...................................................................... 53
4.7.4 Tuning ...................................................................................................................... 54
4.7.4.1 Filtering Input ................................................................................................... 54
4.7.4.2 Data Transformation ......................................................................................... 54
4.7.4.3 “Model Answer” Tuning ................................................................................... 55
4.7.4.3.1 Number of samples Matching ................................................................... 55
4.7.4.3.2 Error Compensation .................................................................................. 55
4.7.4.3.3 Average of Motion Data ............................................................................ 55
4.7.5 Analysis Result of Tuning ......................................................................................... 55
4.7.5.1 Motion used ..................................................................................................... 55
4.7.5.2 Configuration used ........................................................................................... 61
4.7.5.3 Result ................................................................................................................ 62
4.7.5.4 Conclusion ........................................................................................................ 63
4.8 Our developed console .................................................................................................. 64
Chapter 5 Project Progress ............................................................................... 65
LYU0702 Legendary of 18 Weapons - Motion Capture Data Analysis for Wii Remote Page 4 / 77