A Collision Avoidance Algorithm for Human Motion Prediction Based on Perceived Risk of Collision: Part 1-Model Development.

IISE transactions on occupational ergonomics and human factors Pub Date : 2021-07-01 Epub Date: 2021-09-16
James Yang, Brad Howard, Juan Baus
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Abstract

OCCUPATIONAL APPLICATIONSDigital human models have been widely used in occupational biomechanics assessments to prevent potential injury risks, such as automotive assembly lines, box lifting, patient repositioning, and the mining industry. Motion prediction is one of the important capabilities in digital human models, and collision avoidance is involved in human motion prediction. We propose an algorithm that will ensure human motions are predicted realistically, and finally, use of this algorithm could help enhance the accuracy of injury risk assessments using digital human models.

基于感知碰撞风险的人体运动预测避碰算法:第1部分-模型开发。
数字人体模型已广泛应用于职业生物力学评估,以预防潜在的伤害风险,如汽车装配线,箱子搬运,患者重新定位和采矿业。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。我们提出了一种算法,可以确保真实地预测人体运动,最后,使用该算法可以帮助提高使用数字人体模型进行伤害风险评估的准确性。
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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