Automatic Generation of Human Animation for Expressing Music Features

• Main Authors: Loi, Ka Chon, 雷嘉駿
• Other Authors: Li, Tsai Yen
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/55587421591920130926

碩士 === 國立政治大學 === 資訊科學學系 === 96 === In recent years, the improvement of computing ability has contributed to the　wide application of 3D virtual environment. In the thesis, we propose to combine character animation with music for music interpretation in 3D virtual environment. The system proposed in the thesis is an intelligent avatar motion generator, which generates expressive motions according to music features. The system can extract music features from input music data, segment a music into several music segments, and then plan avatar animation. In the literature, much music-related animation research uses reconstruction and modification of existing motion to compose new animations. In this work, we analyze the relationship between music and motions, and then use procedural animation to automatically generate applicable and variable motions to interpret music. Our experiments show that the system can accept LOA1 models and midi as inputs in general, and generate appropriate expressive motions by modifying parameters according to users’ preference or music style.