tamu-offshore-wind-mocap Coming soon

Offshore Wind Turbine Maintenance Motion Capture Dataset

Chen, Y., Santos, H., Tao, J., Ding, Y., Zhang, X.

Texas A&M University / Georgia Institute of Technology · 2025 · United States

Multimodal motion data of simulated offshore wind turbine maintenance activities: 24 participants performed symmetric lifting, ladder stepping, and rung climbing while recorded concurrently by marker-based optical motion capture, body-worn flexible sensors, and smartphone/tablet video, supporting ergonomic assessment of biomechanical demands in wind-energy maintenance work. Release planned.

Optical mocapIMUVideoLiftingMMH

Release pending

Details

Subjects: n = 24
Protocol / load: Symmetric lifting, stepping onto/down a ladder, and climbing up/down ladder rungs, repeated across trials
Equipment: Marker-based optical motion capture; BioStamp nPoint flexible wearable sensors (accelerometer, gyroscope); smartphone/tablet cameras for video-based capture
Formats: csv, mp4
License: TBD
Keywords: motion-capture, wearable-sensors, wind-energy, ladder-climbing, ergonomics
Added to catalog: 2026-08-18

Cite

Cite the dataset as its authors request (check the source page for an official citation); this BibTeX is a convenience starting point.

@misc{tamu-offshore-wind-mocap,
  author = {{Chen, Y., Santos, H., Tao, J., Ding, Y., Zhang, X.}},
  title  = {{Offshore Wind Turbine Maintenance Motion Capture Dataset}},
  year   = {2025},
}