Lu Lu
College of Engineering
Is this your profile?
Claim your Citation Index profile in order to display more information about you and gain access to Libraries services. Just create or connect your ORCID iD.
Create or connect your ORCID iD
Works (10)
Updated: May 7th, 2024 09:10
2024 journal article
Exploring the impact of human-robot interaction on workers' mental stress in collaborative assembly tasks
APPLIED ERGONOMICS, 116.
author keywords: Human -robot collaboration; Interaction modality; Mental stress; Physiological responses
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: January 6, 2024
2024 article
Factors Affecting Workers' Mental Stress in Handover Activities During Human-Robot Collaboration
Lu, L., Xie, Z., Wang, H., Su, B., Jung, S., & Xu, X. (2024, January 12). HUMAN FACTORS, Vol. 1.
author keywords: collaborative robot; workplace safety; mental health; unpredictable motion
TL;DR:
The mental stress of workers during HRC is lower when the robot's end effector approaches a worker within the worker's field of view, approaches at a lower speed, or follows a constrained trajectory.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: January 13, 2024
2024 journal article
Markerless gait analysis through a single camera and computer vision
JOURNAL OF BIOMECHANICS, 165.
author keywords: Motion tracking; Lower extremities; Joint kinematics; Gait parameters; Deep neural networks
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 22, 2024
2023 article
An Image-Based Human-Robot Collision Avoidance Scheme: A Proof of Concept
Xie, Z., Lu, L., Wang, H., Li, L., & Xu, X. (2023, June 8). IISE TRANSACTIONS ON OCCUPATIONAL ERGONOMICS & HUMAN FACTORS, Vol. 6.
author keywords: Collaborative robot; collision avoidance; computer vision; robot kinematics; risk assessment
TL;DR:
A reliable system for human-robot collision avoidance system employing computer vision that enables proactive prevention of dangerous collisions between humans and robots and greatly extends the effective detection range compared to previous studies.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: July 31, 2023
2023 article
Improving Workers' Musculoskeletal Health During Human-Robot Collaboration Through Reinforcement Learning
Xie, Z., Lu, L., Wang, H., Su, B., Liu, Y., & Xu, X. (2023, May 22). HUMAN FACTORS, Vol. 5.
author keywords: robotics; computer-supported collaborations; human-automation interaction; job risk assessment; human-robot interaction
TL;DR:
The proposed model-free reinforcement learning method can learn the optimal worker postures without the need for specific biomechanical models and can be applied to improve the occupational safety in robot-implemented factories.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: May 23, 2023
2023 journal article
Nonparametric Estimation of Multivariate Copula Using Empirical Bayes Methods
MATHEMATICS, 11(20).
author keywords: Bernstein copula; dependence measures; empirical checkerboard copula; financial data; uncertainty quantification
TL;DR:
The proposed empirical checkerboard copula within a hierarchical empirical Bayes model alleviates the aforementioned issues and provides a smooth estimator based on multivariate Bernstein polynomials that itself is shown to be a genuine copula.
(via Semantic Scholar)
open access via www.mdpi.com (publisher PDF)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: October 25, 2023
2022 journal article
A mobile platform-based app to assist undergraduate learning of human kinematics in biomechanics courses
JOURNAL OF BIOMECHANICS, 142.
author keywords: Joint angles; User interface; Computer vision; Undergraduate education; Self-relevant data
MeSH headings : Biomechanical Phenomena; Humans; Learning; Mathematics; Mobile Applications; Students
TL;DR:
A mobile app that can serve as a potential instructional tool to assist in conducting human motion experiments in biomechanics courses and view various kinematics data for a selected joint or body segment in real-time through the user interface of the mobile device.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: September 6, 2022
2022 review
Mental stress and safety awareness during human-robot collaboration - Review
[Review of ]. APPLIED ERGONOMICS, 105.
author keywords: Human-robot collaboration; Mental stress; Safety awareness; Workplace safety
Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 28, 2022
2021 journal article
A computer-vision method to estimate joint angles and L5/S1 moments during lifting tasks through a single camera
JOURNAL OF BIOMECHANICS, 129.
author keywords: Musculoskeletal disorders; Low-back injuries; Markerless motion tracking; Joint kinematics; L5/S1 joint moment
MeSH headings : Biomechanical Phenomena; Computers; Humans; Lifting; Lumbar Vertebrae; Sacrum
TL;DR:
This study showed computer vision could facilitate safety practitioners to quickly identify the jobs with high MSD risks through field survey videos using a single RGB camera and VideoPose3D, an open-source library with a fully convolutional model.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: November 29, 2021
2021 journal article
Lifting Posture Prediction With Generative Models for Improving Occupational Safety
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 51(5), 494–503.
author keywords: Generative models; lifting tasks; neural networks; occupational injuries; posture prediction
TL;DR:
The results prove that using a generative model to predict lifting posture prediction is able to predict postures with reasonable accuracy and validity and can support biomechanical analysis and ergonomics assessment of a lifting task to reduce the risk of low back injuries.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: September 27, 2021
Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.
Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.