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相关概念视频

Probability Distributions01:32

Probability Distributions

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 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
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Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Poisson Probability Distribution01:09

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A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
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Probability Histograms01:17

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A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
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Random Variables01:09

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A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

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启用基于虚拟-真实空间概率密度分布的预测重定向重置.

Huiyu Li, Linwei Fan

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    此摘要是机器生成的。

    本研究引入了重定向行走 (RDW) 的预测重置方法,通过预测用户移动和空间特征来减少边界碰撞. 创新的方法最大限度地提高了用户的步行期望,增强了虚拟现实体验.

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    科学领域:

    • 人与计算机的交互
    • 虚拟现实 虚拟现实 虚拟现实
    • 机器人技术 机器人技术 机器人技术

    背景情况:

    • 重定向步行 (RDW) 允许在有限的物理空间中探索虚拟环境.
    • 当前的RDW重置方法经常忽略空间特征和用户意图,导致频繁的边界碰撞.

    研究的目的:

    • 为 RDW 开发一种创新的预测重置方法,以尽量减少物理边界碰撞.
    • 在虚拟现实中增强用户沉浸和连续步行距离.

    主要方法:

    • 提出了使用空间概率密度分布的预测重置方法.
    • 嵌入空间特征 (布局能量) 和用户步行意图 (意图推断模型).
    • 开发了一个融合能源地图,考虑虚拟和真实空间,以获得最佳的重置方向.

    主要成果:

    • 与普遍的重置方法相比,显著减少了物理碰撞.
    • 在RDW中增加了连续步行距离.
    • 证明了与各种RDW控制器的卓越适用性.

    结论:

    • 预测重置方法有效地解决了RDW边界碰撞问题.
    • 该方法通过考虑空间特征和行走意图来增强用户体验.
    • 这种方法为沉浸式虚拟现实交互提供了强大的解决方案.