dc.contributor.author | O'Sullivan, Carol | |
dc.date.accessioned | 2021-05-20T13:34:16Z | |
dc.date.available | 2021-05-20T13:34:16Z | |
dc.date.created | Mar 2021 | en |
dc.date.issued | 2021 | |
dc.date.submitted | 2021 | en |
dc.identifier.citation | G. Yamac, N. J. Mitra and C. O’Sullivan, Detecting the Point of Release of Virtual Projectiles in AR/VR, 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2021, 563-564 | en |
dc.identifier.other | Y | |
dc.description.abstract | Our aim is to detect the point of release of a thrown virtual projectile in VR/AR. We capture the full-body motion of 18 participants throwing virtual projectiles and extract motion features, such as position, velocity, rotation and rotational velocity for arm joints. Frame-level binary classifiers that estimate the point of release are trained and evaluated using a metric that prioritizes detection timing to obtain a ranking of joints and motion features. We find that wrist joint and rotation motion feature are most accurate, which can can help when placing simple motion tracking sensors for real-time throw detection. | en |
dc.format.extent | 563 | en |
dc.format.extent | 564 | en |
dc.language.iso | en | en |
dc.rights | Y | en |
dc.subject | Wrist | en |
dc.subject | Three-dimensional displays | en |
dc.subject | Tracking | en |
dc.subject | Projectiles | en |
dc.subject | Virtual Reality | en |
dc.subject | User interfaces | en |
dc.title | Detecting the Point of Release of Virtual Projectiles in AR/VR | en |
dc.title.alternative | 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) | en |
dc.type | Conference Paper | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/osullica | |
dc.identifier.rssinternalid | 230444 | |
dc.identifier.doi | 10.1109/VRW52623.2021.00164 | |
dc.rights.ecaccessrights | openAccess | |
dc.identifier.orcid_id | 0000-0003-3772-4961 | |
dc.identifier.uri | http://hdl.handle.net/2262/96402 | |