Yamac, G;
Mitra, NJ;
O'Sullivan, C;
(2021)
Detecting the point of release of virtual projectiles in AR/VR.
In:
2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).
(pp. pp. 563-564).
IEEE
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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.
| Type: | Proceedings paper |
|---|---|
| Title: | Detecting the point of release of virtual projectiles in AR/VR |
| ISBN-13: | 9780738113678 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/VRW52623.2021.00164 |
| Publisher version: | https://doi.org/10.1109/VRW52623.2021.00164 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10129945 |
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