Leveraging Digital Perceptual Technologies for Analysis of Human Biomechanical Processes: A Contactless Approach for Workload Assessment.

Jesudara Omidokun, Darlington Egeonu, Bochen Jia, Liang Yang
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Abstract

OCCUPATIONAL APPLICATIONWe present a computer vision framework that is intended to help enhance workplace safety and productivity across diverse occupational domains by monitoring worker movements and identifying ergonomic risks. By analyzing movement patterns and biomechanics, use of this framework could promote safe and healthy working conditions, helping to prevent injuries and mitigate workplace accidents. Additionally, application of the framework could aid in assessing assistive technologies that support workers with various conditions in completing tasks safely and efficiently, thereby helping to boost productivity.

利用数字感知技术分析人体生物力学过程:工作量评估的非接触式方法。
职业应用我们提出了一个计算机视觉框架,旨在通过监控工人运动和识别人体工程学风险来帮助提高不同职业领域的工作场所安全和生产力。通过分析运动模式和生物力学,使用这一框架可以促进安全和健康的工作条件,有助于防止伤害和减轻工作场所事故。此外,该框架的应用可以帮助评估辅助技术,以支持各种条件下的工人安全有效地完成任务,从而有助于提高生产率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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