Hanwen Wang

North Carolina State University

Works (8)

Updated: December 12th, 2024 05:01

2024 article

Learning Undergraduate Data Science Through a Mobile Device and Full Body Movements

Jung, S. H., Wang, H., Su, B., Lu, L., Qing, L., Fang, X., & Xu, X. (2024, November 27). TechTrends, Vol. 11.

By: S. Jung n, H. Wang* , B. Su n, L. Lu n, L. Qing n, X. Fang n , X. Xu n 

author keywords: Computer vision; Context-rich data; K-means clustering; Mobile learning; Principal component analysis; Undergraduate education
topics (OpenAlex): Mobile Learning in Education; Experimental Learning in Engineering; Teaching and Learning Programming
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Sources: Web Of Science, NC State University Libraries
Added: December 9, 2024

2024 article

Predicting Human Postures for Manual Material Handling Tasks Using a Conditional Diffusion Model

Qing, L., Su, B., Jung, S., Lu, L., Wang, H., & Xu, X. (2024, October 21). IEEE Transactions on Human-Machine Systems, Vol. 54, pp. 723–732.

By: L. Qing n, B. Su n, S. Jung n, L. Lu n, H. Wang n  & X. Xu n 

author keywords: Predictive models; Diffusion models; Training; Noise reduction; Ergonomics; Data models; Materials handling; Standards; Musculoskeletal system; Load modeling; Conditional posture prediction; denoising diffusion probabilistic models (DDPMs); manual material handling (MMH) tasks; occupational injuries
topics (OpenAlex): Ergonomics and Musculoskeletal Disorders
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: October 21, 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 7). IISE Transactions on Occupational Ergonomics and Human Factors, Vol. 6.

By: Z. Xie n, L. Lu n, H. Wang n , L. Li  n & X. Xu n 

author keywords: Collaborative robot; collision avoidance; computer vision; robot kinematics; risk assessment
topics (OpenAlex): Hand Gesture Recognition Systems; Video Surveillance and Tracking Methods; Advanced Neural Network Applications
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)
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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 The Journal of the Human Factors and Ergonomics Society, Vol. 5.

By: Z. Xie n, L. Lu n, H. Wang n , B. Su n, Y. Liu n & X. Xu n 

author keywords: robotics; computer-supported collaborations; human-automation interaction; job risk assessment; human-robot interaction
topics (OpenAlex): Ergonomics and Musculoskeletal Disorders; Musculoskeletal pain and rehabilitation; Muscle activation and electromyography studies
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)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: May 23, 2023

2022 article

A mobile platform-based app to assist undergraduate learning of human kinematics in biomechanics courses

Wang, H., Xie, Z., Lu, L., Su, B., Jung, S., & Xu, X. (2022, August 9). Journal of Biomechanics, Vol. 9.

By: H. Wang n , Z. Xie n, L. Lu n, B. Su n, S. Jung n & X. Xu n 

author keywords: Joint angles; User interface; Computer vision; Undergraduate education; Self-relevant data
MeSH headings : Biomechanical Phenomena; Humans; Learning; Mathematics; Mobile Applications; Students
topics (OpenAlex): Innovative Teaching Methods; Virtual Reality Applications and Impacts; Winter Sports Injuries and Performance
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)
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4. Quality Education (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: September 6, 2022

2022 article

Mental stress and safety awareness during human-robot collaboration - Review

Lu, L., Xie, Z., Wang, H., Li, L., & Xu, X. (2022, June 27). Applied Ergonomics, Vol. 105, p. 103832.

By: L. Lu n, Z. Xie n, H. Wang n , L. Li  n & X. Xu n 

author keywords: Human-robot collaboration; Mental stress; Safety awareness; Workplace safety
topics (OpenAlex): Occupational Health and Safety Research; Human-Automation Interaction and Safety; Safety Warnings and Signage
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: June 28, 2022

2021 article

A computer-vision method to estimate joint angles and L5/S1 moments during lifting tasks through a single camera

Wang, H., Xie, Z., Lu, L., Li, L., & Xu, X. (2021, November 8). Journal of Biomechanics, Vol. 12.

By: H. Wang n , Z. Xie n, L. Lu n, L. Li  n & X. Xu n 

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
topics (OpenAlex): Musculoskeletal pain and rehabilitation; Ergonomics and Musculoskeletal Disorders; Occupational Health and Safety Research
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)
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Sources: Web Of Science, NC State University Libraries
Added: November 29, 2021

2021 article

Lifting Posture Prediction With Generative Models for Improving Occupational Safety

Li, L., Prabhu, S., Xie, Z., Wang, H., Lu, L., & Xu, X. (2021, August 24). IEEE Transactions on Human-Machine Systems, Vol. 51, pp. 494–503.

By: L. Li n, S. Prabhu n, Z. Xie n, H. Wang n , L. Lu n & X. Xu n 

author keywords: Generative models; lifting tasks; neural networks; occupational injuries; posture prediction
topics (OpenAlex): Musculoskeletal pain and rehabilitation; Ergonomics and Musculoskeletal Disorders; Stroke Rehabilitation and Recovery
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)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: September 27, 2021

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