Dissertation/Thesis Abstract

Comparison of Selected Cleaning Tasks Before and After Ergonomic Guidelines Using Motion Capture and Analysis System
by Kargarnovin, Shaida, M.S., Southern Illinois University at Edwardsville, 2019, 136; 22592005
Abstract (Summary)

Cleaning workers are exposed to risk factors for musculoskeletal disorders (MSDs), such as lifting, carrying, awkward postures, repetitive motions, and high hand forces. These exposures result in a high rate of injuries, absenteeism from work and early retirement. Therefore, a need for a measurable intervention is noticeably demanded. In this study, the performance of the cleaning workers before they are instructed how to perform their cleaning tasks and after they are guided how to perform those are measured and compared using cutting-edge motion capture and analysis system (MCAS) along with quantitative methods integrating kinematic, and (electromyography) EMG data. The goal was to detect the capability of active involvement of workers in implementing safety cues of ergonomic knowledge and procedure in altering biomechanical loads on the musculoskeletal structure of them, supported by their managers and supervisors and determine whether or not there was a significant difference in the before and after the act. The overall conclusion of the presented study in this thesis is that the ergonomic training and guidance can be practical partially on somebody segments whereas a more elaborated inspection will potentially disclose patterns of change in other segments and joints that remained unvaried.

Indexing (document details)
Advisor: Onal, Sinan
Commitee: Cho, Sohyung, Smith, Bryan
School: Southern Illinois University at Edwardsville
Department: Industrial Engineering
School Location: United States -- Illinois
Source: MAI 81/3(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Industrial engineering, Biomechanics
Keywords: Biomechanics, Cleaning workers, Ergonomics, Human motion capture and analysis systems, Kinematics
Publication Number: 22592005
ISBN: 9781088373996
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