Investigation of Preliminary Motions from a Static State and Their Predictability
Investigation of Preliminary Motions from a Static State and Their Predictability
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静态初步运动及其可预测性的研究
DOI：
10.20965/jrm.2021.p0537
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
H. Shinoda
中科院分区：
文献类型：
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作者：
Chaoshun Xu;M. Fujiwara;Yasutoshi Makino;H. Shinoda
在日常生活中，人类会观察他人的行为，并稍微提前预测他们的动作。已经进行了许多研究，利用神经网络计算自动化这种预测能力；然而，他们含蓄地假设，在重大行动之前会发生初步行动。在这项研究中，我们定量地研究了从静态运动中出现初步运动的时间和时间，以及原则上可以预测哪种运动。我们认为这些知识是交互技术中运动预测的基础。我们检查了基本动作的初步动作，如踢腿和跳跃，并通过将它们作为神经网络的输入来确认初步动作的存在。结果是，虽然我们没有发现手移动任务的初始运动，但左右跳跃任务的初始运动最多，比主要运动早0.4秒。
Humans observe the actions of others and predict their movements slightly ahead of time in everyday life. Many studies have been conducted to automate such a prediction ability computationally using neural networks; however, they implicitly assumed that preliminary motions occurred before significant movements. In this study, we quantitatively investigate when and how long a preliminary motion appears in motions from static states and what kinds of motion can be predicted in principle. We consider this knowledge fundamental for movement prediction in interaction techniques. We examined preliminary motions of basic movements such as kicking and jumping, and confirmed the presence of preliminary motions by using them as inputs to a neural network. As a result, although we did not find preliminary motion for a hand-moving task, a left-right jumping task had the most preliminary motion, up to 0.4 s before the main movement.