HapticV1, Istex, Corpus, bibRecord, 003A71

Haptic Data Compression Based on Curve Reconstruction

Identifieur interne : 003A71 ( Istex/Corpus ); précédent : 003A70; suivant : 003A72

Haptic Data Compression Based on Curve Reconstruction

Auteurs : Fenghua Guo ; Yan He ; Nizar Sakr ; Jiying Zhao ; Abdulmotaleb El Saddik

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.

RBID : ISTEX:65397BE098011AC1D92B98974F6D194A1A6A3250

Abstract

Abstract: In this paper, the problem of haptic data compression is addressed. The algorithm partitions haptic data samples into subsets while relying on knowledge from human haptic perception. A geometric distance-based approach is used to reduce the number of haptic data subsets. In particular, to improve approximation precision, each haptic data subset is fitted by a quadratic curve. Accordingly, rather than directly using the original haptic data, only the coefficients of the quadratic curves are stored or transmitted. Experiments are performed to compare the suggested curve reconstruction method with the more common linear method. The results prove the effectiveness of the proposed approach in improving data reduction rate and approximation precision.

Url:

https://api.istex.fr/document/65397BE098011AC1D92B98974F6D194A1A6A3250/fulltext/pdf

DOI: 10.1007/978-3-642-21538-4_34

Links to Exploration step

ISTEX:65397BE098011AC1D92B98974F6D194A1A6A3250

Le document en format XML

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<Para>In this paper, the problem of haptic data compression is addressed. The algorithm partitions haptic data samples into subsets while relying on knowledge from human haptic perception. A geometric distance-based approach is used to reduce the number of haptic data subsets. In particular, to improve approximation precision, each haptic data subset is fitted by a quadratic curve. Accordingly, rather than directly using the original haptic data, only the coefficients of the quadratic curves are stored or transmitted. Experiments are performed to compare the suggested curve reconstruction method with the more common linear method. The results prove the effectiveness of the proposed approach in improving data reduction rate and approximation precision.</Para>
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<affiliation>School of Information Technology and Engineering, University of Ottawa, Canada</affiliation>
<affiliation>E-mail: elsaddik@mcrlab.uottawa.ca</affiliation>
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<abstract lang="en">Abstract: In this paper, the problem of haptic data compression is addressed. The algorithm partitions haptic data samples into subsets while relying on knowledge from human haptic perception. A geometric distance-based approach is used to reduce the number of haptic data subsets. In particular, to improve approximation precision, each haptic data subset is fitted by a quadratic curve. Accordingly, rather than directly using the original haptic data, only the coefficients of the quadratic curves are stored or transmitted. Experiments are performed to compare the suggested curve reconstruction method with the more common linear method. The results prove the effectiveness of the proposed approach in improving data reduction rate and approximation precision.</abstract>
<relatedItem type="host"><titleInfo><title>Autonomous and Intelligent Systems</title>
<subTitle>Second International Conference, AIS 2011, Burnaby, BC, Canada, June 22-24, 2011. Proceedings</subTitle>
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<name type="personal"><namePart type="given">Mohamed</namePart>
<namePart type="family">Kamel</namePart>
<affiliation>Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada</affiliation>
<affiliation>E-mail: mkamel@uwaterloo.ca</affiliation>
<role><roleTerm type="text">editor</roleTerm>
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<name type="personal"><namePart type="given">Fakhri</namePart>
<namePart type="family">Karray</namePart>
<affiliation>Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada</affiliation>
<affiliation>E-mail: karray@uwaterloo.ca</affiliation>
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<name type="personal"><namePart type="given">Wail</namePart>
<namePart type="family">Gueaieb</namePart>
<affiliation>School of Information Technology and Engineering (SITE), University of Orrawa, 800 King Edward Avenue, K1N 6N5, Ottawa, ON, Canada</affiliation>
<affiliation>E-mail: wgueaieb@site.uOttawa.ca</affiliation>
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<name type="personal"><namePart type="given">Alaa</namePart>
<namePart type="family">Khamis</namePart>
<affiliation>Faculty of Engineering and Material Science, Department of Mechatronics Engineering, German University in Egypt, Main Entrance El Tagamoa El Khames, New Cairo City, Egypt</affiliation>
<affiliation>E-mail: alaa.khamis@guc.edu.eg</affiliation>
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Haptic Data Compression Based on Curve Reconstruction

Haptic Data Compression Based on Curve Reconstruction

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