An Online Multi-Index Approach to Human Ergonomics Assessment in the Workplace
- Title
- An Online Multi-Index Approach to Human Ergonomics Assessment in the Workplace
- Author
- 김완수
- Keywords
- Communication, Networking and Broadcast Technologies; Components, Circuits, Devices and Systems; Signal Processing and Analysis; Robotics and Control Systems; Power, Energy and Industry Applications; General Topics for Engineers; Computing and Processing; Indexes; Ergonomics; Task analysis; Torque; Kinematics; Monitoring; Dynamics; Ergonomic assessment; human modeling; kinematics and dynamics monitoring
- Issue Date
- 2022-01
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Citation
- IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Page. 1-12
- Abstract
- Work-related musculoskeletal disorders (WMSDs)
remain one of the major occupational safety and health problems
in the European Union nowadays. Thus, continuous tracking of
workers’ exposure to the factors that may contribute to their
development is paramount. This paper introduces an online
approach to monitor kinematic and dynamic quantities on the
workers, providing on the spot an estimate of the physical load
required in their daily jobs. A set of ergonomic indexes is
defined to account for multiple potential contributors to WMSDs,
also giving importance to the subject-specific requirements of
the workers. To evaluate the proposed framework, a thorough
experimental analysis was conducted on twelve human subjects
considering tasks that represent typical working activities in
the manufacturing sector. For each task, the ergonomic indexes
that better explain the underlying physical load were identified,
following a statistical analysis, and supported by the outcome of
a surface electromyography (sEMG) analysis. A comparison was
also made with a well-recognised and standard tool to evaluate
human ergonomics in the workplace, to highlight the benefits
introduced by the proposed framework. Results demonstrate
the high potential of the proposed framework in identifying the
physical risk factors, and therefore to adopt preventive measures.
Another equally important contribution of this study is the
creation of a comprehensive database on human kinodynamic1
measurements, which hosts multiple sensory data of healthy
subjects performing typical industrial tasks.
- URI
- https://arxiv.org/abs/2111.06323https://repository.hanyang.ac.kr/handle/20.500.11754/171087
- ISSN
- 2168-2291; 2168-2305
- DOI
- 10.1109/THMS.2021.3133807
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ETC
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