Noorbhai Habib, Moon Sanghee, Fukushima Takashi
BEAHT Research Centre, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
J Sports Sci. 2025 Jun;43(12):1167-1174. doi: 10.1080/02640414.2025.2489868. Epub 2025 Apr 8.
The increasing diversity in motion capture technologies necessitates a structured approach to review and compare different systems. This paper presents a conceptual framework based on a review of existing motion capture methodologies, ranging from single-camera configurations to multi-camera systems enhanced with depth sensing and computer vision technology. The framework encompasses three distinct approaches: 1) single-camera with depth estimation, 2) single-camera with depth sensors, and 3) multiple cameras. Each method is detailed in terms of setup procedures, calibration techniques, advantages and disadvantages, as well as data processing workflows. The paper provides a framework and guide that can be adapted to different research and application contexts for sports and exercise, ensuring accurate and reliable 3D markerless motion capture. This framework aims to assist researchers, analysts and scientists in choosing the most suitable configuration based on their sport, specific requirements and/or constraints. By outlining the processes and considerations for each setup, this paper serves as a methodological guide, facilitating broader adoption and standardisation of advanced 3D motion capture technologies for sports and exercise. Although empirical data is not included in this paper, the focus on procedural guidelines demonstrates methodological rigour and practical implementation for 3D markerless motion capture research in sports and exercise.
运动捕捉技术日益多样化，这就需要一种结构化的方法来审视和比较不同的系统。本文基于对现有运动捕捉方法的综述，提出了一个概念框架，涵盖从单相机配置到采用深度传感和计算机视觉技术增强的多相机系统。该框架包含三种不同的方法：1）具有深度估计功能的单相机；2）配备深度传感器的单相机；3）多相机。每种方法都在设置程序、校准技术、优缺点以及数据处理工作流程方面进行了详细阐述。本文提供了一个可适用于体育和运动领域不同研究及应用场景的框架和指南，以确保实现准确可靠的无标记三维运动捕捉。该框架旨在帮助研究人员、分析师和科学家根据其研究的运动项目、特定要求和/或限制条件选择最合适的配置。通过概述每种设置的流程和注意事项，本文充当了一份方法指南，有助于推动先进的三维运动捕捉技术在体育和运动领域更广泛地应用和标准化。尽管本文未包含实证数据，但对程序指南的关注体现了体育和运动领域无标记三维运动捕捉研究的方法严谨性和实际可操作性。
