Detecting the Point of Release of Virtual Projectiles in AR/VR
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, 563-564Download Item:
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.
Author's Homepage:
http://people.tcd.ie/osullica
Author: O'Sullivan, Carol
Other Titles:
2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)Type of material:
Conference PaperCollections
Availability:
Full text availableKeywords:
Wrist, Three-dimensional displays, Tracking, Projectiles, Virtual Reality, User interfacesDOI:
10.1109/VRW52623.2021.00164Metadata
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