PDF(Pubmed)
Abstract：
UNASSIGNED: Octopuses are capable of complex arm movements. Unfortunately, experimental barriers and lack of a robust analysis method made it difficult to quantify the three-dimensional (3D) kinematics of soft, flexible bodies, such as the octopus arm. This information is not only crucial for understanding the posture of the animal\'s arm but also for the development of similarly designed soft, flexible devices.
UNASSIGNED: The primary goal of this work was to create a method to comprehensively quantify complex, 3D postures of octopus (Octopus Bimaculoides) arms in a manner that is conducive and translatable to octopus arm-inspired devices for health monitoring and rehabilitation.
METHODS: In this study, 3D underwater motion capture was used to collect kinematic data on both live octopuses and disembodied arms that still had neural activity. A new method was developed to define how arm curvature and regional segments were oriented relative to each other in 3D. This included identification of the bend within a segment along with the computation of the relative orientation between segments, thus permitting the complete quantification of complex arm motions.
RESULTS: By comparing vector-based and radius of curvature-based approaches to magnitude of curvature, it was clear that the vector-based approach was less dependent on the length of a segment and that its reported ranges of motion were translatable for outcome measures associated with clinical use. The new approach for the relative orientation of each segment of the octopus arm resulted in the capability of describing the octopus arm in many unique postures, such as straight, simple bending, and complex bending as it utilized the three rotational angles.
UNASSIGNED: This method and its application to octopus arms will yield new information that can be used to better communicate and track not only octopus arm movements but in the development of complex, segmented, soft-bodied devices that can be used in health monitoring and rehabilitation.
UNASSIGNED: The primary goal of this work was to create a method to comprehensively quantify complex, 3D postures of octopus (Octopus Bimaculoides) arms in a manner that is conducive and translatable to octopus arm-inspired devices for health monitoring and rehabilitation.
METHODS: In this study, 3D underwater motion capture was used to collect kinematic data on both live octopuses and disembodied arms that still had neural activity. A new method was developed to define how arm curvature and regional segments were oriented relative to each other in 3D. This included identification of the bend within a segment along with the computation of the relative orientation between segments, thus permitting the complete quantification of complex arm motions.
RESULTS: By comparing vector-based and radius of curvature-based approaches to magnitude of curvature, it was clear that the vector-based approach was less dependent on the length of a segment and that its reported ranges of motion were translatable for outcome measures associated with clinical use. The new approach for the relative orientation of each segment of the octopus arm resulted in the capability of describing the octopus arm in many unique postures, such as straight, simple bending, and complex bending as it utilized the three rotational angles.
UNASSIGNED: This method and its application to octopus arms will yield new information that can be used to better communicate and track not only octopus arm movements but in the development of complex, segmented, soft-bodied devices that can be used in health monitoring and rehabilitation.
摘要：
■章鱼能够进行复杂的手臂运动。不幸的是,实验障碍和缺乏稳健的分析方法使得难以量化软,柔性体,比如章鱼的手臂。这些信息不仅对于理解动物手臂的姿势至关重要，而且对于类似设计的柔软的发展也至关重要。灵活的设备。
■这项工作的主要目标是创建一种全面量化复杂，章鱼（章鱼Bimaculoides）手臂的3D姿势，有利于和可平移到章鱼手臂启发的设备，用于健康监测和康复。
方法：在本研究中，3D水下运动捕获用于收集活章鱼和仍然具有神经活动的无形手臂的运动学数据。开发了一种新方法来定义手臂曲率和区域段如何在3D中相对于彼此定向。这包括识别段内的弯曲以及计算段之间的相对方向。从而允许复杂的手臂运动的完整量化。
结果：通过比较基于矢量和基于曲率半径的曲率大小方法，很明显,基于矢量的方法不太依赖于节段的长度,并且其报告的运动范围对于与临床使用相关的结局指标是可翻译的.章鱼臂的每个部分的相对方向的新方法导致在许多独特的姿势描述章鱼臂的能力，比如直的,简单的弯曲，和复杂的弯曲，因为它利用了三个旋转角度。
■这种方法及其在章鱼手臂中的应用将产生新的信息，这些信息不仅可以用于更好地交流和跟踪章鱼手臂的运动，而且可以在复杂的发展过程中，分段，可用于健康监测和康复的软体装置。
■这项工作的主要目标是创建一种全面量化复杂，章鱼（章鱼Bimaculoides）手臂的3D姿势，有利于和可平移到章鱼手臂启发的设备，用于健康监测和康复。
方法：在本研究中，3D水下运动捕获用于收集活章鱼和仍然具有神经活动的无形手臂的运动学数据。开发了一种新方法来定义手臂曲率和区域段如何在3D中相对于彼此定向。这包括识别段内的弯曲以及计算段之间的相对方向。从而允许复杂的手臂运动的完整量化。
结果：通过比较基于矢量和基于曲率半径的曲率大小方法，很明显,基于矢量的方法不太依赖于节段的长度,并且其报告的运动范围对于与临床使用相关的结局指标是可翻译的.章鱼臂的每个部分的相对方向的新方法导致在许多独特的姿势描述章鱼臂的能力，比如直的,简单的弯曲，和复杂的弯曲，因为它利用了三个旋转角度。
■这种方法及其在章鱼手臂中的应用将产生新的信息，这些信息不仅可以用于更好地交流和跟踪章鱼手臂的运动，而且可以在复杂的发展过程中，分段，可用于健康监测和康复的软体装置。
