Volume 9 Number 11 (Nov. 2014)
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JSW 2014 Vol.9(11): 2796-2803 ISSN: 1796-217X
doi: 10.4304/jsw.9.11.2796-2803

Haptic Data Compression Based on a Linear Prediction Model and Quadratic Curve Reconstruction

Fenghua Guo1, Caiming Zhang1, 2, Yan He1
1School of Computer Science and Technology, Shandong University, Jinan, China
2School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China

Abstract—In this paper, a new haptic data compression algorithm is presented. The algorithm partitions haptic data samples into subsets based on knowledge from human haptic perception. To reduce the number of data subsets, a prediction model based on a tangential direction concept is derived that adapts to local geometric changes of haptic signals. Furthermore, to improve signal approximation precision, each haptic data subset is fitted by a quadratic curve. Accordingly, only the coefficients of the quadratic curves are encoded. Experiments are performed on datasets acquired using a six-degrees-of-freedom haptic-enabled telepresence system. The experimental results demonstrate that the proposed haptic data compression algorithm can potentially outperform existed methods in the literature.

Index Terms—haptics, linear prediction, compression, curve reconstruction


Cite: Fenghua Guo, Caiming Zhang, Yan He, "Haptic Data Compression Based on a Linear Prediction Model and Quadratic Curve Reconstruction," Journal of Software vol. 9, no. 11, pp. 2796-2803, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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