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A multivariate method for analysing time and space components of highly disparate movement trajectories

机译:用于分析高度不同运动轨迹的时间和空间分量的多变量方法

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The difficulties in performing manual control tasks under visual-motor mismatch are well documented. For example, laparoscopic surgeons must operate in an environment where a motor movement and the visual feedback of that same movement are ordinarily misaligned with respect to each other, increasing the risk of control errors. To complement conventional global measures of motor performance, which provide insight into spatial and/or temporal performance averaged over several trials, a bivariate dynamic measure encompassing joint time and space components is proposed. These two components are the instantaneous velocity and movement efficiency, derived from recorded movement trajectories. The dynamic measure consists of a graphical representation of the bivariate data, in conjunction with a non-parametric statistical analysis. An example is given of the dynamic measure applied to movement trajectories from an investigation involving simulated laparoscopic pointing under visual-motor mismatch. Results from both global and dynamic measures are discussed, along with limitations of the multivariate dynamic measure.
机译:在视觉运动不匹配下执行手动控制任务的困难是有据可查的。例如,外科医生腹腔镜必须在电机的运动和该相同的运动的视觉反馈通常与相对于彼此不对准的环境中操作,从而增加控制错误的风险。为了补充的电机性能常规全球措施,这提供的洞察的空间和/或时间的性能平均超过几个试验中,二元动态尺度包围关节的时间和空间分量提出。这两个组件是瞬时速度和运动的效率,从记录的移动轨迹的。动态尺度由二元数据的图形表示的,在与非参数统计分析相结合。给出一个例子从视觉运动不匹配下涉及模拟腹腔镜指向调查施加于移动轨迹动态尺度的。从全局和动态的措施结果进行了讨论,利用多元动态尺度限制一起。

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