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Can we improve over weber sampling of haptic signals?

机译:我们可以改善对触觉信号的韦伯采样吗?

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In applications such as telesurgery, it is required to transmit haptic signals to a remote location with a delay of at most few milliseconds. To reduce the packet rate and yet retain perceptual quality, adaptive sampling has been explored in the literature. In particular, in earlier work we proposed and analyzed an adaptive sampling scheme based on Weber's law of perception. In this paper, we explore other possible adaptive sampling candidates. We describe an experimental setup where users are subjected to piecewise constant haptic stimuli to which they can respond with a click. We record the clicks and ask the question: can we identify signal features and classiers to predict the clicks? The answer suggests adaptive sampling schemes that improve over Weber sampling.
机译:在诸如远程外科手术的应用中,需要以至多几毫秒的延迟将触觉信号发送到远程位置。为了降低分组速率并保持感知质量,文献中已经探索了自适应采样。特别是,在较早的工作中,我们提出并分析了基于韦伯感知定律的自适应采样方案。在本文中,我们探索了其他可能的自适应采样候选者。我们描述了一种实验设置,其中用户受到分段恒定的触觉刺激,他们可以通过单击来响应。我们记录点击次数并提出一个问题:我们可以识别信号特征和分类器来预测点击次数吗?答案表明自适应采样方案比Weber采样有所改进。

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