Trajectory Data for Falling Heads: investigating reflexive responses to head-neck perturbations

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Wochner, Isabell, 2022, "Trajectory Data for Falling Heads: investigating reflexive responses to head-neck perturbations", https://doi.org/10.18419/darus-1132, DaRUS, V1, UNF:6:qCoJktHRm+8r61oAjbw9+w== [fileUNF]

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Description	This dataset contains the extracted trajectories from the video data for 17 participants of the Falling Head experiment of the paper "’Falling Heads’: investigating reflexive responses to head-neck perturbations" by Isabell Wochner, Lennart V. Nölle, Oleksandr V. Martynenko and Syn Schmitt. Always cite the paper together with this dataset because this dataset is not self-explanatory. The kinematics were recorded using a HCC-1000 camera and HCC Control software (VDS Vosskühler GmbH/Germany) at a sampling rate of 462 fps. Three markers were recorded to detect both translational as well as rotational movements of the head. In order to place the markers better and avoid that they are obscured by hair, the participants were asked to wear a swimming cap. Marker 1 was positioned on the sphenoid bone (close to the eyes), Marker 2 was positioned in sight line with a distance of 4 cm to Marker 1, and Marker 3 was attaches such that all three markers form an equilateral triangle. Furthermore, we extracted a fixed point on the neck and chin (necessary for an inverse dynamics analysis). Additionally, the demographic characteristics (gender, age, weight, height and BMI) are provided as .txt file. (2020-10-19)
Subject	Engineering; Medicine, Health and Life Sciences; Physics
Keyword	Reflex Behaviour, Head-Neck Perturbations, Motor Control
Related Publication	Wochner, I., Nölle, L. V., Martynenko, O. V., & Schmitt, S. (2022). ‘Falling heads’: investigating reflexive responses to head-neck perturbations. Biomedical engineering online, 21(1), article no. 25. doi: 10.1186/s12938-022-00994-9
Notes	Note: We provide here the extracted trajectories because the raw videos should never be made accessible without restriction (only available for scientific use). The dataset contains several txt files: For each marker (1,2,3) we extracted the x and y trajectories (over time) in both the supine and prone case. Furthermore, we provide extracted trajectories for a fixed point on the neck and chin (necessary for the inverse dynamics analysis). However, these trajectories (of neck and chin) are noisier due to the lack of actual markers. Note, that the columns contain a header denoting the partipant number (P) and the trial number (T). This means that 'P3_T2' would correspond to the time trajectory of the second trial of the third participant. The columns are separated by commas. Each trajectory contains 150 data points, corresponding to 150 frames (recorded at 462 fps). Furthermore, we provide the time in a separate file (time.txt). The trigger was always released at the 17th frame. All quantities are given in SI-units (e.g. time [s], traj in [m]). The coordinate system of the camera was defined differently than the coordinate system in the publication (x direction defined similar, y direction in direction of gravity, but origin is in the upper left corner). This is only relevant for the moment arm calculation in the inverse dynamics analysis.
License/Data Use Agreement	CC BY 4.0

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	1 to 10 of 24 Files	Original Format Archival Format (.tab)
	Demographic_Characteristics_Participants_tab.tab Tabular Data - 792 B Published Apr 1, 2022 65 Downloads 6 Variables, 21 Observations UNF:6:qCoJktHRm+8r61oAjbw9+w== This file is the same as Demographic_Characteristics_Participants but saved as tab-separated file to increase readibility.	Preview "Demographic_Characteristics_Participants_tab.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	Demographic_Characteristics_Participants.txt ExtractedTrajectories/Plain Text - 843 B Published Apr 1, 2022 61 Downloads MD5: f1c2efae199db310c608eb75c409516c	Preview "ExtractedTrajectories/Demographic_Characteristics_Participants.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	ReadMeTrajectories.txt ExtractedTrajectories/Plain Text - 1.2 KB Published Apr 1, 2022 74 Downloads MD5: 9768fb26c7f75f5789139f0fa7443c75	Preview "ExtractedTrajectories/ReadMeTrajectories.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	time.txt ExtractedTrajectories/Plain Text - 2.7 KB Published Apr 1, 2022 76 Downloads MD5: 4e5ed15f98548cff232cf7a4b6b4e0fd	Preview "ExtractedTrajectories/time.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	xtraj_allparticipants_prone_marker1.txt ExtractedTrajectories/Plain Text - 134.0 KB Published Apr 1, 2022 72 Downloads MD5: ebeb53a33b98728455f265c71e4fd29f	Preview "ExtractedTrajectories/xtraj_allparticipants_prone_marker1.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	xtraj_allparticipants_prone_marker2.txt ExtractedTrajectories/Plain Text - 133.9 KB Published Apr 1, 2022 77 Downloads MD5: 2eb4cf4f4c10ea3d1e5b04cf080b107c	Preview "ExtractedTrajectories/xtraj_allparticipants_prone_marker2.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	xtraj_allparticipants_prone_marker3.txt ExtractedTrajectories/Plain Text - 129.3 KB Published Apr 1, 2022 69 Downloads MD5: 51c7948c2b5407f650c2d19baeebf202	Preview "ExtractedTrajectories/xtraj_allparticipants_prone_marker3.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	xtraj_allparticipants_prone_marker_chin.txt ExtractedTrajectories/Plain Text - 134.0 KB Published Apr 1, 2022 64 Downloads MD5: 5929eff483797ad3bc0b1112b227a6a9	Preview "ExtractedTrajectories/xtraj_allparticipants_prone_marker_chin.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	xtraj_allparticipants_prone_marker_neck.txt ExtractedTrajectories/Plain Text - 133.9 KB Published Apr 1, 2022 81 Downloads MD5: d2a88c4b318bdb509db70810311522ac	Preview "ExtractedTrajectories/xtraj_allparticipants_prone_marker_neck.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	xtraj_allparticipants_supine_marker1.txt ExtractedTrajectories/Plain Text - 133.9 KB Published Apr 1, 2022 79 Downloads MD5: 8ab2b1f75f03001a938bfed42d42e6ca	Preview "ExtractedTrajectories/xtraj_allparticipants_supine_marker1.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.18419/darus-1132
Publication Date	2022-04-01
Title	Trajectory Data for Falling Heads: investigating reflexive responses to head-neck perturbations
Author	Wochner, Isabell (University of Stuttgart) - ORCID: 0000-0002-2820-5791
Point of Contact	Use email button above to contact. Wochner, Isabell (University of Stuttgart) Schmitt, Syn (University of Stuttgart)
Description	This dataset contains the extracted trajectories from the video data for 17 participants of the Falling Head experiment of the paper "’Falling Heads’: investigating reflexive responses to head-neck perturbations" by Isabell Wochner, Lennart V. Nölle, Oleksandr V. Martynenko and Syn Schmitt. Always cite the paper together with this dataset because this dataset is not self-explanatory. The kinematics were recorded using a HCC-1000 camera and HCC Control software (VDS Vosskühler GmbH/Germany) at a sampling rate of 462 fps. Three markers were recorded to detect both translational as well as rotational movements of the head. In order to place the markers better and avoid that they are obscured by hair, the participants were asked to wear a swimming cap. Marker 1 was positioned on the sphenoid bone (close to the eyes), Marker 2 was positioned in sight line with a distance of 4 cm to Marker 1, and Marker 3 was attaches such that all three markers form an equilateral triangle. Furthermore, we extracted a fixed point on the neck and chin (necessary for an inverse dynamics analysis). Additionally, the demographic characteristics (gender, age, weight, height and BMI) are provided as .txt file. (2020-10-19)
Subject	Engineering; Medicine, Health and Life Sciences; Physics
Keyword	Reflex Behaviour http://purl.obolibrary.org/obo/NBO_0000389 (NBO) Head-Neck Perturbations Motor Control https://www.wikidata.org/wiki/Q2996165 (Wikidata)
Related Publication	Wochner, I., Nölle, L. V., Martynenko, O. V., & Schmitt, S. (2022). ‘Falling heads’: investigating reflexive responses to head-neck perturbations. Biomedical engineering online, 21(1), article no. 25. doi: 10.1186/s12938-022-00994-9 https://doi.org/10.1186/s12938-022-00994-9
Notes	Note: We provide here the extracted trajectories because the raw videos should never be made accessible without restriction (only available for scientific use). The dataset contains several txt files: For each marker (1,2,3) we extracted the x and y trajectories (over time) in both the supine and prone case. Furthermore, we provide extracted trajectories for a fixed point on the neck and chin (necessary for the inverse dynamics analysis). However, these trajectories (of neck and chin) are noisier due to the lack of actual markers. Note, that the columns contain a header denoting the partipant number (P) and the trial number (T). This means that 'P3_T2' would correspond to the time trajectory of the second trial of the third participant. The columns are separated by commas. Each trajectory contains 150 data points, corresponding to 150 frames (recorded at 462 fps). Furthermore, we provide the time in a separate file (time.txt). The trigger was always released at the 17th frame. All quantities are given in SI-units (e.g. time [s], traj in [m]). The coordinate system of the camera was defined differently than the coordinate system in the publication (x direction defined similar, y direction in direction of gravity, but origin is in the upper left corner). This is only relevant for the moment arm calculation in the inverse dynamics analysis.
Funding Information	Virtual Vehicly as part of Comet K2 (funded by Federal Ministry of Transport, Innovation & Technology (BMVIT) and the Federal Ministry of Economics & Labour (BMWFI), FFG, Land Steiermark and Steirische Wirtschaftsförderung (SFG)): OM4IS2 extended DFG: 390740016
Depositor	Wochner, Isabell
Deposit Date	2020-10-19
Related Dataset	Wochner, Isabell, 2022, "Postprocessing Code for 'Falling Heads': investigating reflexive responses to head-neck perturbations", https://doi.org/10.18419/darus-2526, DaRUS; Wochner, Isabell, 2022, "Neck muscle data for Falling Heads: investigating reflexive responses to head-neck perturbations", https://doi.org/10.18419/darus-1145, DaRUS.; Wochner, Isabell; Schmitt, Syn, 2022, "EMG data for Falling Heads: investigating reflexive responses in active Human Body Models", https://doi.org/10.18419/darus-1038, DaRUS.

Process Metadata

Processing Methods	Video recording and extraction (Head and neck kinematics were recorded using a HCC-1000 camera and HCC Control software (VDS Vosskühler GmbH/Germany) with a sampling rate of 462 fps. Based on this data, we extracted trajectories using custom software written in Matlab (Mathworks, Natick, MA).)
Method Parameters	frame rate [fps] : 462
Software	HCC-1000 camera and HCC Control software (VDS Vosskühler GmbH/Germany) Matlab (Mathworks, Natick, MA)

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