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Exploring Human Perception-based Data Reduction for Haptic Communication in 6-DOF Telepresence Systems

机译:探索基于人的感知数据减少,以便在6-DOF远程呈现系统中进行触觉通信

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In this paper a human perception-based data reduction method is suggested to reduce the number of packets transmitted in 6-degrees-of-freedom (DOF) telehaptic systems; specifically in haptic-enabled telepresence. The algorithm relies on knowledge from human haptic perception in order to reduce the number of packets transmitted without compromising transparency. Several distance metrics are also discussed to best examine the acuity of human perception in detecting haptic distortion when data reduction is performed in 6-DOF settings. A validation of the haptic data reduction technique is performed in a telepresence system which enables haptic interaction with a remote virtual environment. Statistical significance tests (using Friedman's nonparametric ANOVA, and Wilcoxon-Signed Rank tests) were carried out to determine the appropriate multivariate human haptic perceptual thresholds (force, torque, orientation, etc.) required to minimize the number of packets transmitted while preserving the immersiveness of the 6-DOF telehaptic environment. It was observed that the suggested algorithm can significantly reduce haptic data traffic with little or no influence on the quality of haptic-enabled telepresence interaction.
机译:在本文中提出一人基于感知的数据还原方法,以减少在6度的自由度(DOF)telehaptic系统传输的数据包的数目;特别是在触觉启用临场感。该算法以减少不影响透明传输的数据包的数量依赖于从人的触觉感知的知识。几个距离度量进行了讨论,以最好检查人类感知的在当在6-DOF设置执行数据还原检测触觉失真的敏锐度。触觉数据缩减技术的验证是在远程呈现系统,使与远程虚拟环境触觉交互来执行。统计显着性检验(使用Friedman的非参数ANOVA,和Wilcoxon-符号秩检验)进行了确定所需最小化发送的分组的数目,同时保持沉浸适当多元人类触觉感知的阈值(力,扭矩,方向等)的六自由度telehaptic环境。据观察,建议的算法可以显著降低与上启用触觉的远程呈现互动的质量几乎没有影响触觉数据流量。

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