In this paper, we describe a novel method to automatically generate synchronized dance motion that is perceptually matched to a given musical piece. The proposed method extracts thirty musical features from musical data as well as thirty seven motion features from motion data. A matching process is then performed between the two feature spaces considering the correspondence of the relative changes in both feature spaces and the correlations between musical and motion features.
Similarity matrices are introduced to match the amount of relative changes in both feature spaces and correlation coefficients are used to establish the correlations between musical features and motion features by measuring the strength of correlation between each pair of the musical and motion features. By doing this, the progressions of musical and dance motion patterns and perceptual changes between two consecutive musical and motion segments are matched.
To demonstrate the effectiveness of the proposed approach, we designed and carried out a user opinion study to assess the perceived quality of the proposed approach. The statistical analysis of the user study results showed that the proposed approach generated results that were significantly better than those produced using a random walk through the dance motion database.
The approach suggested in this dissertation can be applied to a number of application areas including film, TV commercials, virtual reality applications, computer games and entertainment systems.
|Advisor:||Hahn, James K.|
|Commitee:||Berkovich, Simon Y., Fouad, Hesham, Rotenstreich, Shmuel, Sibert, John L.|
|School:||The George Washington University|
|School Location:||United States -- District of Columbia|
|Source:||DAI-B 70/03, Dissertation Abstracts International|
|Subjects:||Electrical engineering, Computer science|
|Keywords:||Computer animation, Motion generation, Music visualization|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be