TY - JOUR
T1 - A Collision Avoidance Algorithm for Human Motion Prediction Based on Perceived Risk of Collision
T2 - Part 2-Application
AU - Yang, James
AU - Howard, Brad
AU - Baus, Juan
N1 - Publisher Copyright:
© 2021 “IISE”.
PY - 2021
Y1 - 2021
N2 - Occupational Application: Digital 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.
AB - Occupational Application: Digital 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.
KW - Collision avoidance
KW - optimization-based motion prediction
KW - perceived risk theory
UR - http://www.scopus.com/inward/record.url?scp=85120090239&partnerID=8YFLogxK
U2 - 10.1080/24725838.2021.2004265
DO - 10.1080/24725838.2021.2004265
M3 - Article
C2 - 34753404
AN - SCOPUS:85120090239
SN - 2472-5838
VL - 9
SP - 211
EP - 222
JO - IISE Transactions on Occupational Ergonomics and Human Factors
JF - IISE Transactions on Occupational Ergonomics and Human Factors
IS - 3-4
ER -