EDBT 2026 Demo / reviewers in the wild / expert
Matthew Bounds
dblp:182/7480
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 70% Multimedia systems and quality of experience · 23% Computer animation and physical simulation · 7% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › immersive interaction
haptics and multimodal interaction |
0.2 | 1 | 2016 | Hand motion calibration and retargeting for intuitive object manipulation in immersive virtual environments · VR 2016 |
Virtual and augmented reality
immersive interaction |
0.2 | 1 | 2016 | Hand motion calibration and retargeting for intuitive object manipulation in immersive virtual environments · VR 2016 |
Multimedia systems and quality of experience › user interaction
interaction techniques and input |
0.2 | 1 | 2016 | Hand motion calibration and retargeting for intuitive object manipulation in immersive virtual environments · VR 2016 |
Virtual and augmented reality › immersive interaction › 3d interaction
object manipulation |
0.2 | 1 | 2016 | Hand motion calibration and retargeting for intuitive object manipulation in immersive virtual environments · VR 2016 |
Methods — techniques the papers use, named apart from their topics
motion capture · 0.2hand motion calibration · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Hand motion calibration and retargeting for intuitive object manipulation in immersive virtual environmentsabstractIn this paper a system is proposed to combine small finger movements with the large scale body movements captured from a motion capture system. The strength of the proposed work over previous research is in the real-time and natural interactions that the virtual hands have with their environment. By being able to conform to physics, the virtual hands feel like virtual extensions of one's own hands. This provides a higher degree of immersion and interactivity when compared to more traditional virtual reality systems. Brandon Wilson, Matthew Bounds, Alireza Tavakkoli |
VR | 2 |