使用OpenPose和自定义的MATLAB脚本,快速的三维摩托车手姿势重建
Emmanuele Barberi1, Massimiliano Chillemi1, Filippo Cucinotta1
1Department of Engineering, University of Messina, 98166 Messina, Italy.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
这项研究提出了一种快速,负担得起的方法,用于使用立体视觉和OpenPose进行3D摩托车骑手姿势重建. 这种人体工程学分析可以提高骑手的安全性和性能.
科学领域:
- 人与计算机的交互
- 生物力学 生物力学
- 汽车工程 汽车工程
背景情况:
- 人体工程学研究人类与环境的互动,这对于理解摩托车上的骑手姿势至关重要.
- 错误的摩托车骑行姿势可能会导致身体/心理上的不适,损害风险感知和车辆控制.
- 最佳的骑行者姿势对于摩托车手的健康和道路安全至关重要.
研究的目的:
- 开发一种快速,经济有效和强大的方法,以3D重建摩托车手的姿势.
- 为了能够详细分析骑行者在摩托车上的生物力学.
主要方法:
- 利用立体视觉技术进行深度感知.
- 应用OpenPose用于实时3D关键点检测和跟踪.
- 计算和评估3D关键点之间的距离,以评估身体段长度.
主要成果:
- 实现了摩托车手关键点及其时间变化的精确3D重建.
- 验证了重建的身体部分长度与现实世界测量的稳定性和忠实性.
- 证明了该方法对分析骑手姿势动态的稳定性.
结论:
- 提出的3D姿势重建方法是快速,便宜和强大的.
- 这种技术在人体工程学,赛车训练和动态分析方面提供了有价值的应用.
- 增强对骑手生物力学的理解,以提高安全性和性能.
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