基于感知碰撞风险的人体运动预测避碰算法:第2部分-应用。

IISE transactions on occupational ergonomics and human factors Pub Date : 2021-07-01 Epub Date: 2021-11-29
James Yang, Brad Howard, Juan Baus
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引用次数: 0

摘要

职业应用数字人体模型已广泛用于职业评估,以减少潜在的伤害风险,例如汽车装配线,箱子起重和采矿业。人体运动预测是数字人体模型的重要功能之一,而人体运动预测涉及到避碰。将之前提出的一种算法用于人体运动预测,仿真结果与实验研究结果具有较好的相关性。使用该算法可以帮助确保真实地预测人体运动,从而影响伤害风险评估的准确性。
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A Collision Avoidance Algorithm for Human Motion Prediction Based on Perceived Risk of Collision: Part 2-Application.

Occupational ApplicationDigital human models have been widely used for occupational assessments to reduce potential injury risk, such as automotive assembly lines, box lifting, and in the mining industry. Human motion prediction is one of the important capabilities in digital human models, and collision avoidance is involved in human motion prediction. An algorithm proposed earlier was implemented for human motion prediction, and simulated results were found to have a good correlation with the experimental studies. Use of this algorithm can help ensure that human motion is predicted realistically, and thus can impact the accuracy of injury risk assessments.

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