Ming-Lun Lu

According to our database, Ming-Lun Lu authored at least 11 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Studying Accuracy of Machine Learning Models Trained on Lab Lifting Data in Solving Real-World Problems Using Wearable Sensors for Workplace Safety.

Joseph Bertrand, Nick Griffey, Ming-Lun Lu, Rashmi Jha

CoRR, 2023

2022

Machine Learning for Detection and Risk Assessment of Lifting Action.

Thomas Brennan, Ming-Lun Lu, Rashmi Jha, Joseph Bertrand

IEEE Trans. Hum. Mach. Syst., 2022

Estimating Trunk Angle Kinematics During Lifting Using a Computationally Efficient Computer Vision Method.

Runyu L. Greene, Ming-Lun Lu, Menekse S. Barim, Xuan Wang, Marie Hayden, Yu Hen Hu, Robert G. Radwin

Hum. Factors, 2022

2021

Load Asymmetry Angle Estimation Using Multiple-View Videos.

Xuan Wang, Yu Hen Hu, Ming-Lun Lu, Robert G. Radwin

IEEE Trans. Hum. Mach. Syst., 2021

2020

A deep learning approach for lower back-pain risk prediction during manual lifting.

Kristian Snyder, Thomas Brennan, Ming-Lun Lu, Rashmi Jha, Menekse S. Barim, Marie Hayden, Dwight Werren

CoRR, 2020

Development of a Wearable IMU System for Automatically Assessing Lifting Risk Factors.

Ming-Lun Lu, Menekse S. Barim, Shuo Feng, Grant Hughes, Marie Hayden, Dwight Werren

Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health, 2020

2019

Predicting Sagittal Plane Lifting Postures From Image Bounding Box Dimensions.

Runyu L. Greene, Yu Hen Hu, Nicholas Difranco, Xuan Wang, Ming-Lun Lu, Stephen Bao, Jia-Hua Lin, Robert G. Radwin

Hum. Factors, 2019

2016

Evaluation of the Impact of the Revised National Institute for Occupational Safety and Health Lifting Equation.

Ming-Lun Lu, Vern Putz-Anderson, Arun Garg, Kermit G. Davis

Hum. Factors, 2016

2014

Efficacy of the Revised NIOSH Lifting Equation to Predict Risk of Low-Back Pain Associated With Manual Lifting: A One-Year Prospective Study.

Ming-Lun Lu, Thomas R. Waters, Edward Krieg, Dwight Werren

Hum. Factors, 2014

Wholesale price rebate vs. capacity expansion: The optimal strategy for seasonal products in a supply chain.

Kwei-Long Huang, Chia-Wei Kuo, Ming-Lun Lu

Eur. J. Oper. Res., 2014

2013

An Integrated Optical Remote Sensing System for Environmental Perturbation Research.

Cho-ying Huang, Ching-Wen Chai, Chao-Ming Chang, Jr-Chuan Huang, Kai-Ting Hu, Ming-Lun Lu, Yuh-Lurng Chung

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013