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Alexander Schoch

dblp:144/6231 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—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
Learning and educational technologies · 87% Interaction techniques and input · 13%

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

TopicWeightPapersLastEvidence papers
Learning and educational technologies › medical education
anatomy education		 0.212014
An AR edutainment system supporting bone anatomy learning · VR 2014
Learning and educational technologies › immersive learning
augmented reality learning		 0.212014
An AR edutainment system supporting bone anatomy learning · VR 2014
Interaction techniques and input
gesture input		 0.112014
An AR edutainment system supporting bone anatomy learning · VR 2014

Methods — techniques the papers use, named apart from their topics

augmented reality visualization · 0.2
YearPublicationVenuePosition
2014 An AR edutainment system supporting bone anatomy learning
abstract
We present a medical Augmented Reality (AR) edutainment system for bone anatomy learning. This learning environment, called AR bone puzzle, is a metaphor for bone anatomy learning with AR visualization and intuitive interaction. AR bone puzzle uses its user's body as a puzzle frame and computer generated virtual bones as puzzle pieces. Users learn bone anatomy by assembling the virtual bone pieces on their body. Key features of this system are 3D AR visualization and intuitive gesture based user interaction.
Philipp Stefan, Patrick Wucherer, Yuji Oyamada, Alexander Schoch, Motoko Kanegae, Naoki Shimizu, Tatsuya Kodera, Sebastien Cahier, Matthias Weigl, Maki Sugimoto, Pascal Fallavollita, Hideo Saito 0001, Nassir Navab
 VR5