Falls in South Korean older adults (2004–2023): Temporal trends, socioeconomic risk factors, and spatial disparities
Safety ScienceJournal프리프린트 포함
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원문 보기연구실 정보를 불러오고 있습니다
Shuping Xiong
KAIST 산업및시스템공학과
Human factors/ergonomics, Assistive technology
Human Factors and Ergonomics Lab.
shupingx@kaist.ac.kr
ICT/AI-based technologies and solutions for fall and injury prevention. Study mechanisms of human balance and fall risk control, develop ICT/AI tools for fall risk assessment & diagnosis, and design smart technologies for prevention.
Natural user interaction in VR/AR and Human-Robot Interaction. Focus on human natural interactions with VR/AR, usability/UX issues of user interface for VR/AR workspace, and human-robot interaction.
Data-driven and advanced modeling of human behavior and performance. Includes biomechanical analysis and models (kinematics and musculoskeletal modeling), and sensing & data analytics for sports and industrial safety.
Digital humans and fit/comfort of custom products. Includes digital human modeling (DHM), fit and comfort evaluation (virtual try-on), and human-centered product and technology design.
Human-Exoskeleton interaction: A general research framework and advanced modeling methods for safety and comfort assessment
Development of ergonomic interaction framework for VR/AR workspace based on natural hand interaction and 3D user interface
Development of the machine learning based fall risk monitoring and injury prevention system for the elderly using IMU sensors and a wearable airbag
Seamless integration of home-based multifactorial fall risk assessment and tailored interactive intervention for preventing falls among the elderly utilizing the low-cost and markerless Kinect
Development of a theoretical framework and wearable inertial sensors-based system for assessing fall risk and diagnosing risk factors in older people
Investigation on the Reliability and Validity of Measures for Assessing Human Balance & Fall Risk and Effects of Various Factors on Postural Balance
Data Science Convergence Talent Nurturing Research and Development Plan: Industry and Society Demand Oriented Open Human Resource Development
Research and Education on Digital Manufacturing Innovation
Winter Sports Analytics
Strategic program of interdisciplinary human & systems engineering for technologically driven human-centered factories of the future
Style and Foot-Feature-Based Shoe Matching, Customization, and Pricing
Design Strategy for Fit-to-body Consumer Products and Its Key Enabling Technologies
Smart worker safety based on CCTV cameras and wearables
AIR CARE 제품군 메인터넌스 경험개선
VC interoperation of aircraft simulation
Ergonomic evaluation and design optimization of Yongjin functional insoles for human comfort and high performance
Design and Measurement of Work on Shipbuilding for High Manufacturing Efficiency
Virtual Reality–Based Cognitive Behavioral Therapy for Depression in Obese Individuals: An Integrated Behavioral, Psychological, and Digital Intervention Framework
VR-based Obstacle Perception, Crossing Strategy, and Intervention to Reduce Fall Risks in Older Adults
Development of Social Virtual Reality Exercises Technologies for Older Adults
Norway-ChINa-JApan-South Korea network for smart, safe and sustainable healthcare (NINJAS4CARE)
SME support project: working group on manufacturing automation & intelligence
Preliminary research on human-exoskeleton interaction and safety of industrial exoskeletons
IntelliFallCarer: A wearable intelligent system to predict falls and prevent fall-related injuries for the elderly
Development of an integrated digital human modelling framework for real-time risk assessment of work-related musculoskeletal disorders (WMSDs)
Prediction of sudden falls and prevention of fall related injury for the older people based on AI and wearable motion sensing technologies
Subsequent research on the next generation of Tailored Interactive Fall Prevention System (TIFPS 2.0) for elderly self-care at home
Ergonomics 4.0: AI/AR personal health recommendations for mobile computing at home
Integration of modularized interactive fall intervention programs and a knowledge-based system to develop an unobtrusive tailored fall prevention system for elderly self-care at home
Inertial sensors based fall risk assessment and interactive interventions for older adults
Development of A Portable Omnidirectional Navigation System for Immersive Virtual Reality
Wearable Photo plethysmography Sensor Based System for Diagnosis and Prevention of Economy Class Syndrome
A Prototype System for Fall Risk Assessment
Development of a home-based interactive intervention system for preventing falls among elderly utilizing wearable sensors
An Exploratory Research on Designing and Developing Human Centered Creative Products
Experimental Investigations on the Standard Protocol of Assessing Static Postural Balance
Footwear Customization System
Product Configuration System Modeling and Configurator Design for Customized Luxury Coach
An Experimental Investigation into the Design of Tissue Compliant Footwear
Footwear Design for Comfort
출처: 연구실 홈페이지
현재 재학생
14명
최근 5년 졸업
32명
졸업생 진로 분포: 학계 8명, 산업체 18명, 연구소 4명, 기타 2명
본 페이지는 연구실 규모 파악을 위한 집계 통계(구성원 수, 진로 카테고리, 학위 과정 분포)만 제공하며, 개별 학생의 이름·전적·취업처 등은 표시하지 않습니다. 학위 과정 분포는 모든 재학생의 과정이 명확히 분류된 경우에만 표시되며 (분류 미상 학생이 1명이라도 있으면 미표시), k≥5 익명성 조건을 충족할 때만 공개됩니다 (PIPA §58-2·§28-2 + 대법원 2014다235080).
본 연구는 ISO/TS 9241-411의 다방향 탭핑 과제에서 오류 강조, 호버 강조, 목표 형태, 목표 개수 등 4가지 과제 요인의 영향을 조사합니다. 실험 결과 모든 조사된 과제 요인이 눈 움직임과 마우스 움직임 패턴으로 반영되는 사용자 성능과 행동에 유의미한 영향을 미쳤습니다.
본 연구는 수동형 팔 지지 외골격(ASE)이 다양한 작업 중 동적 균형에 미치는 영향을 조사합니다. 20명의 건강한 남성이 외골격 없음, 외골격 착용(지지력 없음), 외골격 착용(지지력 있음) 세 조건에서 6가지 작업을 수행했습니다. 결과적으로 ASE의 지지력은 들기 작업에서 안정성 여유와 접촉 시간을 유의미하게 개선했으나, 다른 4가지 작업에서는 균형 효과가 없었습니다. 이는 외골격의 효과가 작업 유형에 따라 달라짐을 시사합니다.