Shuping Xiong

Tenured Professor

Korea Advanced Institute of Science and Technology

South Korea

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Shuping Xiong is a Tenured Professor at the Korea Advanced Institute of Science and Technology in South Korea. His research focuses on biomechanics, ergonomics, and real-time detection systems, as demonstrated in his recent articles exploring the impacts of exoskeletons on balance and safety in various environments, including virtual reality. He is actively contributing to advancements in worker safety and fall detection technologies.

Articles (20)

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2025

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2022

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2022

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2022

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2022

Collaborators (3)

Woojoo Kim

Assistant Professor

Changwon National University

SOUTH KOREA

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Yanxin Zhang

University of Auckland

NEW ZEALAND

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Youngho Kim

Yonsei University

SOUTH KOREA

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Shuping Xiong

Research Interests

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About

Articles (20)

Effects of passive Arm-support exoskeleton on dynamic balance in different occupational tasks

Ergonomic Risks in Immersive Virtual Reality Gaming for Entertainment: A Literature Synthesis

Influence of passive arm-support exoskeleton on static postural balance in load-holding tasks: effects of supportive force, weight and load location

Perception of Obstacle Size and Difficulty of Crossing in Physical and Virtual Environments

A Real-time skeleton-based fall detection algorithm based on temporal convolutional networks and transformer encoder

A novel biomechanical model for predicting ankle moments and assessing static balance in users of shoulder-support exoskeletons

Enhancing Worker Safety: Real-Time Automated Detection of Personal Protective Equipment to Prevent Falls from Heights at Construction Sites Using Improved YOLOv8 and Edge Devices

TouchView: Mid-Air Touch on Zoomable 2D View for Distant Freehand Selection on a Virtual Reality User Interface

Effects of passive shoulder-support exoskeleton entity and support force on user range of motion under external loads

A novel semi-supervised model for pre-impact fall detection with limited fall data

Modelling for design and evaluation of industrial exoskeletons: A systematic review

A practical wearable fall detection system based on tiny convolutional neural networks

A multifactorial fall risk assessment system for older people utilizing a low-cost, markerless Microsoft Kinect

Data Augmentation to Address Various Rotation Errors of Wearable Sensors for Robust Pre-impact Fall Detection

Trunk range of motion: A wearable sensor-based test protocol and indicator of fall risk in older people

Acute Effects of Carbon Fiber Insole on Three Aspects of Sports Performance, Lower Extremity Muscle Activity, and Subjective Comfort

Pseudo-haptic button for improving user experience of mid-air interaction in VR

Pseudo-haptics and self-haptics for freehand mid-air text entry in VR

ViewfinderVR: configurable viewfinder for selection of distant objects in VR

A comprehensive comparison of accuracy and practicality of different types of algorithms for pre-impact fall detection using both young and old adults

Collaborators (3)

Woojoo Kim

Yanxin Zhang

Youngho Kim

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