Improving the ergonomy of working environments is essential to reducing work-related musculo-skeletal disorders. We consider real-time ergonomic feedback a key technology for achieving such improvements. To this end, we present supportive tools for online evaluation and visualization of strenuous efforts and postures of a worker, also when physically interacting with a robot. A digital human model is used to estimate human kinematics and dynamics and visualize non-ergonomic joint angles, based on the on-line data acquired from a wearable motion tracking device.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182658 | PMC |
| http://dx.doi.org/10.3390/s22113981 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
[Structural equation analysis and modeling of adverse ergonomic factors for lower back pain].
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi
December 2024
Laboratory of Occupational Protection and Ergonomics, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Article Synopsis
- The study aimed to create a structural equation model to analyze lower back pain and its risk factors among workers in China, based on data from nearly 74,500 cases collected through an epidemiological survey.
- Using confirmatory factor analysis, researchers identified key factors affecting lower back pain, including individual characteristics, work organization, working postures, work types, and muscle fatigue, which were grouped into six categories.
- The model demonstrated good reliability and validity with strong correlations among the identified factors, highlighting that work organization and working postures significantly influence lower back pain, along with a notable linkage between work types and postures.
[Structural equation analysis and modeling of wrist WMSDs and its adverse ergonomic factors].
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi
December 2024
Laboratory of Occupational Protection and Ergonomics, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
To investigate the relationships and impacts between various occupational ergonomic hazards and hand and wrist fatigue, as well as work-related musculoskeletal disorders (WMSDs) of the hand and wrist, and to propose targeted preventive and intervention measures for adverse occupational ergonomic factors causing WMSDs of the hand and wrist. From 2018 to December 2023, a nationwide epidemiologic survey study of wrist WMSDs was conducted using the Chinese version of the electronic questionnaire system for musculoskeletal disorders.A total of 88, 609 valid questionnaires were collected.
View Article and Find Full Text PDFInvestigating Safety Awareness in Assembly Operations Mixed Reality Technology.
IISE Trans Occup Ergon Hum Factors
December 2024
School of Engineering Technology, Purdue University, West Lafayette, IN, USA.
OCCUPATIONAL APPLICATIONSWe investigated the impact of using Mixed Reality (MR) technology as a training tool to help trainees identify safety risks during machine assembly tasks, by analyzing their task completion efficiency and safety risk estimation capabilities. As proof-of-concept, an interactive MR module on hydraulic gripper assembly was designed and incorporated in fluid power laboratories to be tested with mechanical engineering technology students. The developed MR environment was evaluated using accident causation models.
View Article and Find Full Text PDFCritical success factors for ergonomics programs and their relationship to benefits of health and safety in Mexico's manufacturing industries.
Ergonomics
September 2024
Department of Design, Autonomous University of Ciudad Juarez, Ciudad Juarez, Mexico.
This research determines the critical factors for implementing ergonomics programs related to health and safety benefits in the manufacturing industries of Ciudad Juarez, Mexico, from the middle/upper management perspective. The sample was non-probabilistically selected for convenience, comprising individuals in middle and senior management positions. An original questionnaire containing 105 items measuring five latent variables was developed, reviewed, and validated for data collection.
View Article and Find Full Text PDFA qualitative study on apparent and latent contributing factors to driving errors in Iran.
Sci Rep
September 2024
Social Determinants of Health Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Road traffic crashes (RTCs) disproportionately impact low and middle-income countries (LMICs). Current interventions in LMICs primarily target road user behavior, neglecting systemic issues and casting drivers as mere contributors. Given Iran's unique cultural, financial, and social intricacies, this study aims to explore the latent causes of RTCs, prioritizing drivers' experiences and encompassing insights from various traffic system components.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!