文章基本信息

标题：Haptic Data Compression Based on a Linear Prediction Model and Quadratic Curve Reconstruction
本地全文：下载
作者：Guo, Fenghua ; Zhang, Caiming ; He, Yan 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2014
卷号：9
期号：11
页码：2796-2803
DOI：10.4304/jsw.9.11.2796-2803
语种：English
出版社：Academy Publisher
摘要：In this paper, a new haptic data compression technique is presented. The algorithm partitions haptic data samples into subsets while relying 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 coefficents 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 demonstrated that the proposed haptic data compression algorithm can potentially outperform related methods in the literature.
关键词：haptic;linear prediction;compression;curve reconstruction