Perception-based compression of haptic data streams using kalman filters

P. Hinterseer, E. Steinbach, S. Chaudhuri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

38 Scopus citations

Abstract

In order to realize truly immersive and stable telepresence and teleaction over the Internet it is necessary to keep delay, data rate, and packet rate of haptic data streams as low as possible. In addition, the compression scheme for haptic data, which is necessary to achieve those goals, must be fast enough to work on a sample by sample basis to not add further delay. This paper presents an approach that reduces haptic data traffic in networked telepresence and teleaction systems to a small fraction of the original rate without impairing performance by using fast Kalman filters on the input signals combined with model based prediction of haptic signals. Our approach reduces the number of transmitted packets to 9.8% (velocity) and 6.2% (force) of the original rate without impairing immersiveness.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
PagesV473-V476
StatePublished - 2006
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: 14 May 200619 May 2006

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
ISSN (Print)1520-6149

Conference

Conference2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Country/TerritoryFrance
CityToulouse
Period14/05/0619/05/06

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