Janisch Judith, Kirven Jack, Schapker Nicole, Myers Lydia C, Shapiro Liza J, Young Jesse W
Department of Anatomy and Neurobiology, Northeast Ohio Medical University, Rootstown, Ohio, USA.
Department of Biology, University of Akron, Akron, Ohio, USA.
J Exp Zool A Ecol Integr Physiol. 2024 Nov;341(9):965-976. doi: 10.1002/jez.2849. Epub 2024 Jul 8.
Several studies comparing primate locomotion under lab versus field conditions have shown the importance of implementing both types of studies, as each has their advantages and disadvantages. However, three-dimensional (3D) motion capture of primates has been challenging under natural conditions. In this study, we provide a detailed protocol on how to collect 3D biomechanical data on primate leaping in their natural habitat that can be widely implemented. To record primate locomotion in the dense forest we use modified GoPro Hero Black cameras with zoom lenses that can easily be carried around and set up on tripods. We outline details on how to obtain camera calibrations at greater heights and how to process the collected data using the MATLAB camera calibration app and the motion tracking software DLTdv8a. We further developed a new MATLAB application "WildLeap3D" to generate biomechanical performance metrics from the derived x, y, z coordinates of the leaps. We provide details on how to collect data on support diameter, compliance, and orientation, and combine these with the jumps to study locomotor performance in an ecological context. We successfully reconstructed leaps of wild primates in the 3D space under natural conditions and provided data on four representative leaps. We provide exemplar data on primate velocity and acceleration during a leap and show how our protocol can be used to analyze segmental kinematics. This study will help to make motion capture of freely moving animals more accessible and help further our knowledge about animal locomotion and movement.
多项比较灵长类动物在实验室与野外条件下运动情况的研究表明,开展这两种类型的研究都很重要,因为每种研究都有其优缺点。然而,在自然条件下对灵长类动物进行三维(3D)运动捕捉一直具有挑战性。在本研究中,我们提供了一份详细的方案,介绍如何在灵长类动物的自然栖息地收集有关其跳跃的3D生物力学数据,该方案可广泛应用。为了记录灵长类动物在茂密森林中的运动,我们使用了配备变焦镜头的改良型GoPro Hero Black相机,这种相机便于携带且可轻松安装在三脚架上。我们概述了如何在更高高度进行相机校准,以及如何使用MATLAB相机校准应用程序和运动跟踪软件DLTdv8a处理收集到的数据。我们还进一步开发了一个新的MATLAB应用程序“WildLeap3D”,以便从跳跃的导出x、y、z坐标生成生物力学性能指标。我们详细介绍了如何收集有关支撑直径、顺应性和方向的数据,并将这些数据与跳跃数据相结合,以便在生态背景下研究运动性能。我们成功地在自然条件下的3D空间中重建了野生灵长类动物的跳跃,并提供了四个代表性跳跃的数据。我们提供了灵长类动物跳跃过程中的速度和加速度示例数据,并展示了我们的方案如何用于分析节段运动学。这项研究将有助于使对自由移动动物的运动捕捉更加可行,并有助于增进我们对动物运动和移动的了解。