基于视觉的计算管道,用于在工具处理过程中识别手柄类型
Francis Baek1, Daeho Kim2, Julia Penfield3
1Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, USA.
概括
本研究引入了一种计算机视觉系统,用于识别工具使用时的手握,通过非侵入性评估帮助预防和诊断手部肌肉骨疾病 (MSD).
科学领域:
- 职业健康 职业健康 职业健康
- 计算机视觉 计算机视觉
- 人体工程学就是人体工程学.
背景情况:
- 使用手工工具是肌肉骨疾病 (MSD) 的重要危险因素.
- 当前的人体工程学评估通常需要广泛的培训,并且可能具有侵入性.
- 对于MSD预防,需要对手工工具相互作用进行准确,持续的监测.
研究的目的:
- 开发和验证计算机视觉管道,用于在工具处理时识别手柄类型.
- 为评估手部人体工程学提供一种非侵入性,连续的方法.
- 支持与手有关的MSDs的早期检测和管理.
主要方法:
- 使用单眼红,绿,蓝 (RGB) 摄像头进行图像采集.
- 开发了一个计算机视觉算法来分类不同的手握类型.
- 专注于在模拟职业任务期间持续的,非侵入性的数据收集.
主要成果:
- 管道从RGB图像中准确地识别各种手柄类型.
- 该系统提供连续数据的抓地类型,持续时间,和重复.
- 证明了与更广泛的人体工程学评估工具集成的潜力.
结论:
- 拟议的计算机视觉管道为评估手部人体工程学提供了一种可访问和有效的方法.
- 这项技术可以在职业环境中显著帮助预防,早期诊断和治疗手部MSD.
- 该系统的多功能性允许在多个身体部位进行全面的MSD风险分析.
相关概念视频
01:26Visual System
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Once through the pupil, the light passes through the lens, a...
01:20Parallel Processing
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...