Evaluation of Technical and Anthropometric Factors in Postures and Muscle Activation of Heavy-Truck Vehicle Drivers: Implications for the Design of Ergonomic Cabins
This study investigates how three technical factors—steering wheel tilt, torque, and cabin vibration frequency—affect driver posture. Heavy-truck drivers often suffer from musculoskeletal disorders (MSDs), mainly due to poor cabin ergonomics and prolonged postures during work. In countries like Ecua...
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2025-07-01
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| author | Esteban Ortiz Daysi Baño-Morales William Venegas Álvaro Page Skarlet Guerra Mateo Narváez Iván Zambrano |
| author_facet | Esteban Ortiz Daysi Baño-Morales William Venegas Álvaro Page Skarlet Guerra Mateo Narváez Iván Zambrano |
| author_sort | Esteban Ortiz |
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| description | This study investigates how three technical factors—steering wheel tilt, torque, and cabin vibration frequency—affect driver posture. Heavy-truck drivers often suffer from musculoskeletal disorders (MSDs), mainly due to poor cabin ergonomics and prolonged postures during work. In countries like Ecuador, making major structural changes to cabin design is not feasible. These factors were identified through video analysis and surveys from drivers at two Ecuadorian trucking companies. An experimental system was developed using a simplified cabin to control these variables, while posture and muscle activity were recorded in 16 participants using motion capture, inertial sensors, and electromyography (EMG) on the upper trapezius, middle trapezius, triceps brachii, quadriceps muscle, and gastrocnemius muscle. The test protocol simulated key truck-driving tasks. Data were analyzed using ANOVA (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mrow><mi>p</mi><mo><</mo><mn>0.05</mn></mrow></mstyle></semantics></math></inline-formula>), with technical factors and mass index as independent variables, and posture metrics as dependent variables. Results showed that head mass index significantly affected head abduction–adduction (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>8.12 to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>2.18°), and spine mass index influenced spine flexion–extension (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>0.38 to 6.99°). Among technical factors, steering wheel tilt impacted trunk flexion–extension (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>13.56 to 16.99°) and arm rotation (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>31.1 to 19.7°). Steering wheel torque affected arm rotation (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>30.49 to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>6.77°), while vibration frequency influenced forearm flexion–extension (3.76 to 16.51°). EMG signals showed little variation between muscles, likely due to the protocol’s short duration. These findings offer quantitative support for improving cabin ergonomics in low-resource settings through targeted, cost-effective design changes. |
| format | Article |
| id | doaj-art-c6bcbbdc9cfe42b5ab91864c4cdc294d |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-07-01 |
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| spelling | doaj-art-c6bcbbdc9cfe42b5ab91864c4cdc294d2025-08-20T03:13:39ZengMDPI AGApplied Sciences2076-34172025-07-011514777510.3390/app15147775Evaluation of Technical and Anthropometric Factors in Postures and Muscle Activation of Heavy-Truck Vehicle Drivers: Implications for the Design of Ergonomic CabinsEsteban Ortiz0Daysi Baño-Morales1William Venegas2Álvaro Page3Skarlet Guerra4Mateo Narváez5Iván Zambrano6Departamento de Ingeniería Mecánica, Escuela Politécnica Nacional, Quito 170517, EcuadorGrupo de Ingeniería Automotriz, Movilidad y Transporte (GiAUTO), Carrera de Ingeniería Automotriz-Campus Sur, Universidad Politécnica Salesiana, Quito 170702, EcuadorDepartamento de Ingeniería Mecánica, Escuela Politécnica Nacional, Quito 170517, EcuadorInstituto Universitario de Ingeniería Mecánica y Biomecánica, Universitat Politècnica de València, 46022 Valencia, SpainDepartamento de Ingeniería Mecánica, Escuela Politécnica Nacional, Quito 170517, EcuadorDepartamento de Ingeniería Mecánica, Escuela Politécnica Nacional, Quito 170517, EcuadorDepartamento de Ingeniería Mecánica, Escuela Politécnica Nacional, Quito 170517, EcuadorThis study investigates how three technical factors—steering wheel tilt, torque, and cabin vibration frequency—affect driver posture. Heavy-truck drivers often suffer from musculoskeletal disorders (MSDs), mainly due to poor cabin ergonomics and prolonged postures during work. In countries like Ecuador, making major structural changes to cabin design is not feasible. These factors were identified through video analysis and surveys from drivers at two Ecuadorian trucking companies. An experimental system was developed using a simplified cabin to control these variables, while posture and muscle activity were recorded in 16 participants using motion capture, inertial sensors, and electromyography (EMG) on the upper trapezius, middle trapezius, triceps brachii, quadriceps muscle, and gastrocnemius muscle. The test protocol simulated key truck-driving tasks. Data were analyzed using ANOVA (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mrow><mi>p</mi><mo><</mo><mn>0.05</mn></mrow></mstyle></semantics></math></inline-formula>), with technical factors and mass index as independent variables, and posture metrics as dependent variables. Results showed that head mass index significantly affected head abduction–adduction (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>8.12 to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>2.18°), and spine mass index influenced spine flexion–extension (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>0.38 to 6.99°). Among technical factors, steering wheel tilt impacted trunk flexion–extension (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>13.56 to 16.99°) and arm rotation (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>31.1 to 19.7°). Steering wheel torque affected arm rotation (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>30.49 to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mstyle scriptlevel="0" displaystyle="true"><mo>−</mo></mstyle></semantics></math></inline-formula>6.77°), while vibration frequency influenced forearm flexion–extension (3.76 to 16.51°). EMG signals showed little variation between muscles, likely due to the protocol’s short duration. These findings offer quantitative support for improving cabin ergonomics in low-resource settings through targeted, cost-effective design changes.https://www.mdpi.com/2076-3417/15/14/7775heavy-truck vehicle driversergonomicposturesEMG |
| spellingShingle | Esteban Ortiz Daysi Baño-Morales William Venegas Álvaro Page Skarlet Guerra Mateo Narváez Iván Zambrano Evaluation of Technical and Anthropometric Factors in Postures and Muscle Activation of Heavy-Truck Vehicle Drivers: Implications for the Design of Ergonomic Cabins Applied Sciences heavy-truck vehicle drivers ergonomic postures EMG |
| title | Evaluation of Technical and Anthropometric Factors in Postures and Muscle Activation of Heavy-Truck Vehicle Drivers: Implications for the Design of Ergonomic Cabins |
| title_full | Evaluation of Technical and Anthropometric Factors in Postures and Muscle Activation of Heavy-Truck Vehicle Drivers: Implications for the Design of Ergonomic Cabins |
| title_fullStr | Evaluation of Technical and Anthropometric Factors in Postures and Muscle Activation of Heavy-Truck Vehicle Drivers: Implications for the Design of Ergonomic Cabins |
| title_full_unstemmed | Evaluation of Technical and Anthropometric Factors in Postures and Muscle Activation of Heavy-Truck Vehicle Drivers: Implications for the Design of Ergonomic Cabins |
| title_short | Evaluation of Technical and Anthropometric Factors in Postures and Muscle Activation of Heavy-Truck Vehicle Drivers: Implications for the Design of Ergonomic Cabins |
| title_sort | evaluation of technical and anthropometric factors in postures and muscle activation of heavy truck vehicle drivers implications for the design of ergonomic cabins |
| topic | heavy-truck vehicle drivers ergonomic postures EMG |
| url | https://www.mdpi.com/2076-3417/15/14/7775 |
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