DC Field | Value | Language |
---|---|---|
dc.contributor.author | Eom, Haegwang | ko |
dc.contributor.author | Choi, Byung Kuk | ko |
dc.contributor.author | Noh, Jun-Yong | ko |
dc.date.accessioned | 2015-04-06T05:56:11Z | - |
dc.date.available | 2015-04-06T05:56:11Z | - |
dc.date.created | 2014-12-09 | - |
dc.date.created | 2014-12-09 | - |
dc.date.created | 2014-12-09 | - |
dc.date.created | 2014-12-09 | - |
dc.date.issued | 2014-10 | - |
dc.identifier.citation | COMPUTER GRAPHICS FORUM, v.33, no.7, pp.11 - 19 | - |
dc.identifier.issn | 0167-7055 | - |
dc.identifier.uri | http://hdl.handle.net/10203/194736 | - |
dc.description.abstract | Generating a visually appealing human motion sequence using low-dimensional control signals is a major line of study in the motion research area in computer graphics. We propose a novel approach that allows us to reconstruct full body human locomotion using a single inertial sensing device, a smartphone. Smartphones are among the most widely used devices and incorporate inertial sensors such as an accelerometer and a gyroscope. To find a mapping between a full body pose and smartphone sensor data, we perform low dimensional embedding of full body motion capture data, based on a Gaussian Process Latent Variable Model. Our system ensures temporal coherence between the reconstructed poses by using a state decomposition model for automatic phase segmentation. Finally, application of the proposed nonlinear regression algorithm finds a proper mapping between the latent space and the sensor data. Our framework effectively reconstructs plausible 3D locomotion sequences. We compare the generated animation to ground truth data obtained using a commercial motion capture system. | - |
dc.language | English | - |
dc.publisher | WILEY-BLACKWELL | - |
dc.title | Data-Driven Reconstruction of Human Locomotion Using a Single Smartphone | - |
dc.type | Article | - |
dc.identifier.wosid | 000344369200002 | - |
dc.identifier.scopusid | 2-s2.0-84939446525 | - |
dc.type.rims | ART | - |
dc.citation.volume | 33 | - |
dc.citation.issue | 7 | - |
dc.citation.beginningpage | 11 | - |
dc.citation.endingpage | 19 | - |
dc.citation.publicationname | COMPUTER GRAPHICS FORUM | - |
dc.identifier.doi | 10.1111/cgf.12469 | - |
dc.contributor.localauthor | Noh, Jun-Yong | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | LATENT VARIABLE MODELS | - |
dc.subject.keywordPlus | CHARACTER ANIMATION | - |
dc.subject.keywordPlus | MOTION | - |
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