• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Springer Open Choice >Predicting direction detection thresholds for arbitrary translational acceleration profiles in the horizontal plane
【2h】

Predicting direction detection thresholds for arbitrary translational acceleration profiles in the horizontal plane

机译：预测水平面中任意平移加速度曲线的方向检测阈值

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In previous research, direction detection thresholds have been measured and successfully modeled by exposing participants to sinusoidal acceleration profiles of different durations. In this paper, we present measurements that reveal differences in thresholds depending not only on the duration of the profile, but also on the actual time course of the acceleration. The measurements are further explained by a model based on a transfer function, which is able to predict direction detection thresholds for all types of acceleration profiles. In order to quantify a participant’s ability to detect the direction of motion in the horizontal plane, a four-alternative forced-choice task was implemented. Three types of acceleration profiles (sinusoidal, trapezoidal and triangular) were tested for three different durations (1.5, 2.36 and 5.86 s). To the best of our knowledge, this is the first study which varies both quantities (profile and duration) in a systematic way within a single experiment. The lowest thresholds were found for trapezoidal profiles and the highest for triangular profiles. Simulations for frequencies lower than the ones actually measured predict a change from this behavior: Sinusoidal profiles are predicted to yield the highest thresholds at low frequencies. This qualitative prediction is only possible with a model that is able to predict thresholds for different types of acceleration profiles. Our modeling approach represents an important advancement, because it allows for a more general and accurate description of perceptual thresholds for simple and complex translational motions.
机译：在先前的研究中，方向检测阈值已通过将参与者暴露于不同持续时间的正弦加速度曲线进行了测量并成功建模。在本文中，我们提出的测量结果揭示了阈值的差异，这不仅取决于轮廓的持续时间，还取决于加速度的实际时间过程。通过基于传递函数的模型进一步解释了测量结果，该模型能够预测所有类型的加速度曲线的方向检测阈值。为了量化参与者在水平面上检测运动方向的能力，我们实施了四项强制选择任务。在三种不同的持续时间（1.5、2.36和5.86 s）中测试了三种类型的加速度曲线（正弦，梯形和三角形）。据我们所知，这是第一项在单个实验中以系统的方式改变量（轮廓和持续时间）的研究。梯形轮廓的阈值最低，而三角形轮廓的阈值最高。频率低于实际测量频率的仿真预测了此行为的变化：正弦曲线轮廓预计在低频时会产生最高阈值。这种定性预测只有在能够预测不同类型的加速曲线阈值的模型中才有可能。我们的建模方法代表了重要的进步，因为它允许对简单和复杂的平移运动的感知阈值进行更一般和准确的描述。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号