| dc.contributor.author | Yuasa, Yusuke | en_US |
| dc.contributor.author | Tamura, Hideki | en_US |
| dc.contributor.author | Yem, Vibol | en_US |
| dc.contributor.author | Amemiya, Tomohiro | en_US |
| dc.contributor.author | Kitazaki, Michiteru | en_US |
| dc.contributor.author | Ikei, Yasushi | en_US |
| dc.contributor.editor | Kakehi, Yasuaki and Hiyama, Atsushi | en_US |
| dc.date.accessioned | 2019-09-11T05:43:43Z | |
| dc.date.available | 2019-09-11T05:43:43Z | |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 978-3-03868-097-0 | |
| dc.identifier.issn | 1727-530X | |
| dc.identifier.uri | https://doi.org/10.2312/egve.20191302 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egve20191302 | |
| dc.description.abstract | Previous motion capture device such as OptiTrack has actively used. However, it is suitable to measure in a narrow space. We proposed a system to measure the body motion while walking in a large area. In the system we attached OptiTrack, Depth sensor and 9-axis sensor to a mobile vehicle. This paper reports the potential of our system. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Hardware →Communication hardware | |
| dc.subject | interfaces and storage → Sensor applications and deployments | |
| dc.subject | Human | |
| dc.subject | centered computing → Visualization → Visualization systems and tools → Visualization toolkits | |
| dc.title | System for Body Motion Capture While Moving in Large Area | en_US |
| dc.description.seriesinformation | ICAT-EGVE 2019 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments - Posters and Demos | |
| dc.description.sectionheaders | Posters | |
| dc.identifier.doi | 10.2312/egve.20191302 | |
| dc.identifier.pages | 29-30 | |
