dc.contributor.author | Ha, Sehoon | en_US |
dc.contributor.author | Bai, Yunfei | en_US |
dc.contributor.author | Liu, C. Karen | en_US |
dc.contributor.editor | A. Bargteil and M. van de Panne | en_US |
dc.date.accessioned | 2013-10-31T10:28:40Z | |
dc.date.available | 2013-10-31T10:28:40Z | |
dc.date.issued | 2011 | en_US |
dc.identifier.isbn | 978-1-4503-0923-3 | en_US |
dc.identifier.issn | 1727-5288 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/SCA/SCA11/129-138 | en_US |
dc.description.abstract | Consumer-grade, real-time motion capture devices are becoming commonplace in every household, thanks to the recent development in depth-camera technologies. We introduce a new approach to capturing and reconstructing freeform, full-body human motion using force sensors, supplementary to existing, consumer-grade mocap systems. Our algorithm exploits the dynamic aspects of human movement, such as linear and angular momentum, to providekey information for full-body motion reconstruction. Using two pressure sensing platforms (Wii Balance Board) and a hand tracking device, we demonstrate that human motion can be largely reconstructed from ground reaction forces along with a small amount of arm movement information. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Categories and Subject Descriptors (according to ACM CCS): Computer Graphics [I.3.7]: Three-DimensionalGraphics and Realism-Animation; Simulation and Modeling [I.6.8]: Types of Simulation-Animation; | en_US |
dc.title | Human Motion Reconstruction from Force Sensors | en_US |
dc.description.seriesinformation | Eurographics/ ACM SIGGRAPH Symposium on Computer Animation | en_US |