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Motion-BIDS: an extension to the brain imaging data structure to organize motion data for reproducible research

Sein Jeung, Helena Cockx, Stefan Appelhoff, Timotheus Berg, Klaus Gramann, Sören Grothkopp, Elke Warmerdam, Clint Hansen, Robert Oostenveld, BIDS Maintainers, Stefan Appelhoff, Christopher J. Markiewicz, Taylor Salo, Rémi Gau, Ross Blair, Anthony Galassi, Eric Earl, Christine Rogers, Nell Hardcastle, Kimberly L. Ray, Julius Welzel

2024Scientific Data24 citationsDOIOpen Access PDF

Abstract

In the 1830s, the Weber brothers were among the first to report detailed information about temporal and spatial parameters of locomotion of different body parts 1 . Since then, advances in recording technology have led motion tracking to cover a wide range of applications. In the entertainment industry, motion is recorded to create realistic animation in films and games. In immersive virtual reality (VR) systems, motion data is used for interaction between users and the simulated environment. The motion of human body parts is the subject of study in the field of biomechanics and is a relevant source of information in numerous other research areas, such as medicine, sports science, ergonomics, and neuroscience.

Topics & Concepts

MetadataInteroperabilityMotion (physics)Computer scienceMotion captureData sharingModalitiesSoftwareInformation retrievalComputer visionWorld Wide WebProgramming languageAlternative medicinePathologySociologySocial scienceMedicineFunctional Brain Connectivity StudiesContext-Aware Activity Recognition SystemsTime Series Analysis and Forecasting
Motion-BIDS: an extension to the brain imaging data structure to organize motion data for reproducible research | Litcius