Ziyang Xie

College of Engineering

Works (10)

Updated: January 29th, 2024 07:38

2023 journal article

A comparison of the psychological effects of robot motion in physical and virtual environments

APPLIED ERGONOMICS, 112.

By: N. Sanders n, Z. Xie n & K. Chen n

author keywords: Human-robot interaction; Virtual reality; Workload
MeSH headings : Humans; Robotics / methods; User-Computer Interface; Task Performance and Analysis; Workload; Ergonomics
TL;DR: A mixed-methods approach was used to assess the fidelity of virtual environments as ergonomic assessment tools for human-robot interaction, and results suggest that people were distracted by the sound of the robot, and that presence was affected by manipulations of immersion and coherence. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Sources: Web Of Science, ORCID
Added: July 19, 2023

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.

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
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
Sources: Web Of Science, ORCID
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.

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
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
Sources: Web Of Science, ORCID
Added: May 23, 2023

2022 journal article

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

JOURNAL OF BIOMECHANICS, 142.

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
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 (OpenAlex)
Sources: Web Of Science, ORCID
Added: September 6, 2022

2022 review

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

[Review of ]. APPLIED ERGONOMICS, 105.

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
Sources: Web Of Science, ORCID
Added: June 28, 2022

2022 journal article

Real-Time Driving Distraction Recognition Through a Wrist-Mounted Accelerometer

HUMAN FACTORS, 64(8), 1412–1428.

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

author keywords: accident analysis; distractions and interruptions; risk assessment; biomechanics; kinematics
MeSH headings : Humans; Accidents, Traffic; Wrist; Pilot Projects; Automobile Driving; Accelerometry
TL;DR: The results of this pilot study indicate that the proposed driving distraction mitigation system that uses a wrist-worn IMU and ConvLSTM deep neural network classifier may have potential for improving transportation safety. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: April 5, 2021

2021 journal article

A Biaxially Stretchable and Self-Sensing Textile Heater Using Silver Nanowire Composite

ACS APPLIED MATERIALS & INTERFACES, 13(49), 59085–59091.

By: S. Wu n, Z. Cui n, G. Baker n, S. Mahendran n, Z. Xie n & Y. Zhu n

author keywords: silver nanowire; Kirigami; wearable heater; stretchable; smart textile; self-sensing
TL;DR: A resistive, biaxially stretchable heater based on AgNW composite is reported for the first time, where a AgNW percolation network is encased in a thin polyimide (PI) film and integrated with a highly stretchable textile. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: February 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.

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
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
Sources: Web Of Science, ORCID
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.

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
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
Sources: Web Of Science, ORCID
Added: September 27, 2021

2020 journal article

MOPED25: A multimodal dataset of full-body pose and motion in occupational tasks

JOURNAL OF BIOMECHANICS, 113.

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

author keywords: Pose dataset; Kinematics; Postural risk; Computer vision
MeSH headings : Algorithms; Ergonomics; Humans; Motion; Neural Networks, Computer; Posture
TL;DR: A new posture dataset named, MOPED25 (Multimodal Occupational Posture Dataset with 25 tasks) is presented, which includes full-body kinematics data and the synchronized videos of 11 participants, performing commonly seen tasks at workplaces. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: January 11, 2021

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