Guo, R;
Izzouzi, L;
Steed, A;
(2023)
User Motion Accentuation in Social Pointing Scenario.
In:
Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023.
(pp. pp. 575-576).
IEEE: Shanghai, China.
Preview |
PDF
VR23_Poster_User_Motion_Accentuation_in_Social_Scenario.pdf - Accepted Version Download (409kB) | Preview |
Abstract
Few existing methods produce full-body user motion in virtual en-vironments from only the tracking from a consumer-level head-mounted-display. This preliminary project generates full-body motions from the user's hands and head positions through data-based motion accentuation. The method is evaluated in a simple collaborative scenario with one Pointer, represented by an avatar, pointing at targets while an Observer interprets the Pointer's movements. The Pointer's motion is modified by our motion accentuation algorithm SocialMoves. Comparisons on the Pointer's motion are made be-tween SocialMoves, a system built around Final IK, and a ground truth capture. Our method showed the same level of user experience as the ground truth method.
Type: | Proceedings paper |
---|---|
Title: | User Motion Accentuation in Social Pointing Scenario |
Event: | 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) |
Dates: | 25 Mar 2023 - 29 Mar 2023 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/VRW58643.2023.00130 |
Publisher version: | https://doi.org/10.1109/VRW58643.2023.00130 |
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. |
Keywords: | Three-dimensional displays , Target tracking , Conferences , Avatars , Collaboration , User interfaces , Observers |
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-pp.ucl.ac.uk/id/eprint/10172357 |
Archive Staff Only
![]() |
View Item |