From Laboratory to Field: Benchmarking Motion Capture Technologies for Offshore Wind Turbine Maintenance Ergonomics

Offshore wind turbine maintenance poses significant ergonomic challenges due to physically demanding tasks performed in dynamic environments. This study benchmarks three motion capture technologies—marker-based, flexible sensor-based, and phone video-based systems—for evaluating biomechanical demands in simulated maintenance activities. Sagittal plane lumbar flexion angles derived from sensor- and video-based systems closely match those from the marker-based system in simpler tasks, with root mean square error (RMSE) values under 7° and high correlation coefficients. However, accuracy declined in complex or multi-plane motions, particularly for axial rotations. These findings support the use of sensor- and video-based systems as portable, costeffective alternatives to marker-based motion capture for field applications, while underscoring the need for cautious interpretation for dynamic or asymmetric movements.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2025-07-13
DOI
https://doi.org/10.1177/10711813251357902
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

From Laboratory to Field: Benchmarking Motion Capture Technologies for Offshore Wind Turbine Maintenance Ergonomics

Hernán Santos, Yinong Chen, Yulong Ding, Tao Jian et al.
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Human-Automation Interaction and Safety
article

From Laboratory to Field: Benchmarking Motion Capture Technologies for Offshore Wind Turbine Maintenance Ergonomics

Hernán Santos, Yinong Chen, Yulong Ding, Tao Jian, Xudong Zhang
article en

Abstract

Offshore wind turbine maintenance poses significant ergonomic challenges due to physically demanding tasks performed in dynamic environments. This study benchmarks three motion capture technologies—marker-based, flexible sensor-based, and phone video-based systems—for evaluating biomechanical demands in simulated maintenance activities. Sagittal plane lumbar flexion angles derived from sensor- and video-based systems closely match those from the marker-based system in simpler tasks, with root mean square error (RMSE) values under 7° and high correlation coefficients. However, accuracy declined in complex or multi-plane motions, particularly for axial rotations. These findings support the use of sensor- and video-based systems as portable, costeffective alternatives to marker-based motion capture for field applications, while underscoring the need for cautious interpretation for dynamic or asymmetric movements.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 69(1)
Georgia Institute of Technology (US), Texas A&M University (US)
Openalex Percentile: Top 80%
Human-Automation Interaction and Safety
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From Laboratory to Field: Benchmarking Motion Capture Technologies for Offshore Wind Turbine Maintenance Ergonomics — Hernán Santos, Yinong Chen, et al. · Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2025) | TGRS Research Map | TGRS