Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Bo Luan

dblp:137/5602 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2017
—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.

Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 77% Collaborative and social computing · 23%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input
gesture input
0.312017
Gesture-based augmented reality annotation · VR 2017
Virtual and augmented reality
augmented reality
0.112017
Gesture-based augmented reality annotation · VR 2017
Collaborative and social computing › social interaction
multi-user interaction
0.112017
Gesture-based augmented reality annotation · VR 2017
YearPublicationVenuePosition
2017 Gesture-based augmented reality annotation
abstract
Drawing annotations with 3D hand gestures in augmented reality is useful for creating visual and spatial references in the real world, especially when these gestures can be issued from a distance. Different techniques exist for highlighting physical objects with hand-drawn annotations from a distance, assuming an approximate 3D scene model (e.g., as provided by the Microsoft HoloLens). However, little is known about user preference and performance of such methods for annotating real-world 3D environments. To explore and evaluate different 3D hand-gesture-based annotation drawing methods, we have developed an annotation drawing application using the HoloLens augmented reality development platform. The application can be used for highlighting objects at a distance and multi-user collaboration by annotating in the real world.
YunSuk Chang, Benjamin Nuernberger, Bo Luan, Tobias Höllerer, John O'Donovan
VR3