Towards an Equitable Social VR
Lead Research Organisation:
University of Cambridge
Department Name: Engineering
Abstract
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Organisations
Publications
Song Z
(2023)
HotGestures: Complementing Command Selection and Use with Delimiter-Free Gesture-Based Shortcuts in Virtual Reality.
in IEEE transactions on visualization and computer graphics
Liao Y
(2024)
Practical approaches to group-level multi-objective Bayesian optimization in interaction technique design
in Collective Intelligence
Li X
(2023)
Swarm Manipulation in Virtual Reality
| Title | Research data supporting "HotGestures: Complementing Command Selection and Use with Delimiter-Free Gesture-Based Shortcuts in Virtual Reality" |
| Description | 1. The HotGestureData.zip contains a dataset used for training the recognizer in the HotGestures paper. The dataset consists of hand skeleton data of 10 gesture classes and the Null gesture class, collected from 8 participants. Each csv file is a gesture clip that records the trajectory of the 1) ABSOLUTE 3D position (x, y, z) and quaternion (x, y, z, w) of the wrist, and 2) positions and rotations of other joints RELATIVE to the wrist. Please read the markdown (.md) file for more details. 2. The HotGestureSource.zip contains the python source code of the recogniser. One can train this recognizer using the dataset above to implement the HotGestures. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://www.repository.cam.ac.uk/handle/1810/354385 |