速度:目标预测

Interaction Homme-Machine Pub Date : 2011-10-24 DOI:10.1145/2044354.2044378

Jonathan Wonner, J. Grosjean, Antonio Capobianco, D. Bechmann

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引用次数: 5

摘要

在分析指向手势的运动特性的基础上，提出了一种预测端点的SPEED方法。我们的模型将手势分为加速阶段和减速阶段，以精确地检测目标。第一阶段允许我们确定一个速度峰值，标志着第二阶段的开始。该阶段采用二次模型来预测手势端点。一项初步研究表明，对于无干扰的一维任务，SPEED比其他现有方法更准确地预测目标。

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SPEED: prédiction de cibles

We present the SPEED method to predict endpoints, based on analysis of the kinetic characteristics of the pointing gesture. Our model splits the gesture into an acceleration phase and a deceleration phase to precisely detect target. The first phase allows us to identify a velocity peak that marks the beginning of the second phase. This phase is approached with a quadratic model to predict gesture endpoint. A pilot study shows that SPEED predicts a target more precisely than other existing methods, for 1D tasks without distractors.

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Interaction Homme-Machine

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