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

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CHAPTER 4 <strong>–</strong><br />

OUR RESEARCH<br />

Department of Computer Science and Engineering, CUHK<br />

2007 <strong>–</strong> <strong>2008</strong> <strong>Final</strong> <strong>Year</strong> <strong>Project</strong> <strong>–</strong> <strong>1st</strong> <strong>Term</strong> <strong>Report</strong><br />

In this semester, we studied different representation of the data, different classification<br />

methods as well as different methods to increase the classification rate. At this stage, we<br />

have the following configuration:<br />

- Weapon to study: Dao (Sabre)<br />

- Representation of Data: Raw Format<br />

- Data Preprocessing: None<br />

- Classification Algorithm: Dynamic Time Warping on 3D Space<br />

This chapter comprises the following sections:<br />

� 4.1 <strong>Term</strong>inology<br />

� 4.2 <strong>The</strong> Design Structure<br />

� 4.3 Classification Working Flow<br />

� 4.4 Chosen Weapon <strong>–</strong> Dao<br />

� 4.5 Chosen Data Representation <strong>–</strong> Raw Format<br />

� 4.6 Chosen Data Preprocessing <strong>–</strong> None<br />

� 4.7 Chosen Algorithm <strong>–</strong> Dynamic Time Warping<br />

� 4.7.1 Why Dynamic Time Warping?<br />

� 4.7.2 Initial Coding <strong>–</strong> Used Dynamic Time Warping wrongly<br />

� 4.7.3 Extension of Dynamic Time Warping<br />

� 4.7.4 Tuning<br />

� 4.7.4.1 Filtering Input<br />

� 4.7.4.2 Data Transformation<br />

� 4.7.4.3 “Model Answer” Tuning<br />

� 4.7.4.3.1 Number of Samples Matching<br />

� 4.7.4.3.2 Error compensation<br />

� 4.7.4.3.3 Average of Motion Data<br />

� 4.7.5 Analysis Result of Tuning<br />

� 4.7.5.1 Motion used<br />

� 4.7.5.2 Configuration used<br />

� 4.7.5.3 Result<br />

� 4.7.5.4 Conclusion<br />

� 4.8 Our developed console<br />

LYU0702 Legendary of 18 Weapons - Motion Capture Data Analysis for Wii Remote Page 47 / 77

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