Data

Pipelines Open Dataset

La Trobe University
Aaron Ballock (Aggregated by) Andrew Lyttle (Aggregated by) Ashley Hall (Aggregated by) Danielle Vickery-Howe (Aggregated by) Helen Bayne (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26181/33383809.v2&rft.title=Pipelines Open Dataset&rft.identifier=10.26181/33383809.v2&rft.publisher=La Trobe University&rft.description=This dataset contains video and three-dimensional motion-capture data collected during a laboratory investigation of markerless human-motion capture using the Pipelines system. The dataset was collected at the La Trobe University Sports Biomechanics Laboratory between 14 and 16 May 2024 and includes video-based motion-capture data, marker-based optical motion-capture data, and associated trial metadata.The dataset includes 18 healthy young adults (9 female, 9 male) who completed a series of sporting and human-movement tasks. Participants were eligible if they were 18–40 years of age and free from injury. The study was approved by the La Trobe University Human Research Ethics Committee (HEC22276), and written informed consent was obtained from all participants.Movement tasksThe experimental protocol included:running (5 trials)counter-movement jump (5 trials)kicking (5 trials)throwing (5 trials)wheelchair propulsion (5 trials; no trials for Participants 1 and 19)cycling (1 trial)&rft.creator=Aaron Ballock&rft.creator=Andrew Lyttle&rft.creator=Ashley Hall&rft.creator=Danielle Vickery-Howe&rft.creator=Helen Bayne&rft.creator=Kane Middleton&rft.creator=Lucy Parrington&rft.creator=Stuart Morgan&rft.creator=Trenton Warburton&rft.date=2026&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_rights=&rft_subject=Sports science and exercise&rft_subject=Other health sciences&rft_subject=Artificial intelligence&rft_subject=Computer vision and multimedia computation&rft_subject=Machine learning&rft_subject=Biomechanics&rft_subject=Computer vision&rft_subject=Video&rft_subject=Motion capture&rft_subject=Markerless mocap&rft_subject=Sport&rft.type=dataset&rft.language=English Access the data
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Full description

This dataset contains video and three-dimensional motion-capture data collected during a laboratory investigation of markerless human-motion capture using the Pipelines system. The dataset was collected at the La Trobe University Sports Biomechanics Laboratory between 14 and 16 May 2024 and includes video-based motion-capture data, marker-based optical motion-capture data, and associated trial metadata.

The dataset includes 18 healthy young adults (9 female, 9 male) who completed a series of sporting and human-movement tasks. Participants were eligible if they were 18–40 years of age and free from injury. The study was approved by the La Trobe University Human Research Ethics Committee (HEC22276), and written informed consent was obtained from all participants.

Movement tasks

The experimental protocol included:

  • running (5 trials)
  • counter-movement jump (5 trials)
  • kicking (5 trials)
  • throwing (5 trials)
  • wheelchair propulsion (5 trials; no trials for Participants 1 and 19)
  • cycling (1 trial)

This dataset is part of a larger collection

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Subjects
Artificial intelligence | Biomechanics | Computer vision | Computer vision and multimedia computation | Machine learning | Markerless mocap | Motion capture | Other health sciences | Sport | Sports science and exercise | Video |

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Identifiers
ACN 633 798 857