Transparency as a Means to Analyse the Impact of Inertial Sensors on Users during the Occupational Ergonomic Assessment: A Systematic Review
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Título: | Transparency as a Means to Analyse the Impact of Inertial Sensors on Users during the Occupational Ergonomic Assessment: A Systematic Review |
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Autor/es: | García-Luna, Marco A. | Ruiz-Fernandez, Daniel | Tortosa-Martínez, Juan | Manchado, Carmen | García-Jaén, Miguel | Cortell-Tormo, Juan M. |
Grupo/s de investigación o GITE: | Salud, Actividad Física y Tecnología Deportiva (HEALTH-TECH) | Ingeniería Bioinspirada e Informática para la Salud | Grupo de Investigación en Entrenamiento Deportivo y Rendimiento (SCAPE) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Didáctica General y Didácticas Específicas | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Palabras clave: | Transparency | IMU | Inertial | Accelerometer | Ergonomics | RULA | Wearable | Implementation |
Fecha de publicación: | 4-ene-2024 |
Editor: | MDPI |
Cita bibliográfica: | García-Luna MA, Ruiz-Fernández D, Tortosa-Martínez J, Manchado C, García-Jaén M, Cortell-Tormo JM. Transparency as a Means to Analyse the Impact of Inertial Sensors on Users during the Occupational Ergonomic Assessment: A Systematic Review. Sensors. 2024; 24(1):298. https://doi.org/10.3390/s24010298 |
Resumen: | The literature has yielded promising data over the past decade regarding the use of inertial sensors for the analysis of occupational ergonomics. However, despite their significant advantages (e.g., portability, lightness, low cost, etc.), their widespread implementation in the actual workplace has not yet been realized, possibly due to their discomfort or potential alteration of the worker’s behaviour. This systematic review has two main objectives: (i) to synthesize and evaluate studies that have employed inertial sensors in ergonomic analysis based on the RULA method; and (ii) to propose an evaluation system for the transparency of this technology to the user as a potential factor that could influence the behaviour and/or movements of the worker. A search was conducted on the Web of Science and Scopus databases. The studies were summarized and categorized based on the type of industry, objective, type and number of sensors used, body parts analysed, combination (or not) with other technologies, real or controlled environment, and transparency. A total of 17 studies were included in this review. The Xsens MVN system was the most widely used in this review, and the majority of studies were classified with a moderate level of transparency. It is noteworthy, however, that there is a limited and worrisome number of studies conducted in uncontrolled real environments. |
Patrocinador/es: | This research was funded by (1) the Valencian Innovation Agency of Spain, grant number INNVA1/2020/81; and (2) the Ministry of Universities of Spain, grant number FPU20/01843. The APC was funded by the Department of General and Specific Didactics, Faculty of Education, University of Alicante, Spain. |
URI: | http://hdl.handle.net/10045/139624 |
ISSN: | 1424-8220 |
DOI: | 10.3390/s24010298 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.3390/s24010298 |
Aparece en las colecciones: | INV - HEALTH-TECH - Artículos de Revistas INV - IBIS - Artículos de Revistas INV - SCAPE - Artículos de Revistas |
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