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Srivishnu Satyavolu

dblp:88/11181 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

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 · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › input sensing › tracking
virtual reality tracking
0.112012
Analysis of IR-based virtual reality tracking using multiple Kinects · VR 2012

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

kinect sensor · 0.1
YearPublicationVenuePosition
2012 Analysis of IR-based virtual reality tracking using multiple Kinects
abstract
This article presents an analysis of using multiple Microsoft Kinects to track users in a VR system. More specifically, we analyse the capability of Kinects to track infrared points for use in VR applications. Multiple Kinect sensors may serve as a low cost and affordable means to track position information across a large lab space in applications where precise location tracking is not necessary. We present our findings and analysis of the tracking range of a Kinect sensor in situations in which multiple Kinects are present. Overall, the Kinect sensor works well for this application and in lieu of more expensive options, the Kinect sensors may be a viable option for very low-cost tracking in VR applications.
Srivishnu Satyavolu, Gerd Bruder, Peter Willemsen 0001, Frank Steinicke
VR1