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在自然活动和驾驶飞机时对前庭输入统计数据进行比较

Axel Roques^1,2,3, Yannick James³, Ioannis Bargiotas¹

¹Centre Borelli, CNRS, SSA, INSERM, Université Paris Saclay, ENS Paris Saclay, Université Paris Cité, Paris, France.

Journal of neurophysiology

|June 21, 2023

概括

走路时的垂体刺激遵循两个功率规律,受任务强度的影响. 坐着的任务显示不同的光谱图案,表明身体姿势形状前庭输入.

科学领域:

静脉神经生理学静脉神经生理学
人与机器的互动人与机器的互动
生物力学生物力学

背景情况:

垂体刺激对平衡和空间定向至关重要.
在自然活动和人机界面期间了解前庭输入对于设计有效系统至关重要.
之前的研究使用功率定律模拟了自导航期间的前庭刺激.

研究的目的:

调查和比较在不受约束的活动中自然前庭刺激的统计和光谱特征.
评估直升机模拟器操作期间前置输入如何变化与生态任务 (行走,坐着视觉探索) 相比.
为了确定身体姿势和任务强度对前庭光谱内容的影响.

主要方法:

健康的受试者执行了三个任务:行走,坐着的视觉探索和直升机模拟器操作.
记载和分析它们的统计性质和光谱含量.
使用功率光谱密度分析来建模前庭输入特征.

主要成果:

步行引起前庭刺激,功率光谱以两个功率定律为模型,过渡频率取决于任务强度.
坐着的任务 (视觉探索和模拟器) 展示了所有运动平面上的反转U形形状描述的功率光谱.
身体姿势显著改变了前庭信息的频率内容.

结论:

走路时的前庭输入是刻板的,可以通过受任务强度影响的功率规律来表征.
身体姿势作为一个解剖学波器,塑造前体刺激的光谱内容.
人机界面,就像飞行模拟器一样,施加了影响前体刺激的约束,尽管操作员倾向于在操作范围内保持生态刺激.

关键词:

头部运动头部运动人机交互的人机交互自然任务自然任务.前庭信息是前庭信息.

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