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Part 1: Document Description
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Citation |
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Title: |
Trajectory Data for Falling Heads: investigating reflexive responses to head-neck perturbations |
Identification Number: |
doi:10.18419/darus-1132 |
Distributor: |
DaRUS |
Date of Distribution: |
2022-04-01 |
Version: |
1 |
Bibliographic Citation: |
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] |
Citation |
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Title: |
Trajectory Data for Falling Heads: investigating reflexive responses to head-neck perturbations |
Identification Number: |
doi:10.18419/darus-1132 |
Authoring Entity: |
Wochner, Isabell (University of Stuttgart) |
Grant Number: |
OM4IS2 extended |
Grant Number: |
390740016 |
Distributor: |
DaRUS |
Access Authority: |
Wochner, Isabell |
Access Authority: |
Schmitt, Syn |
Depositor: |
Wochner, Isabell |
Date of Deposit: |
2020-10-19 |
Holdings Information: |
https://doi.org/10.18419/darus-1132 |
Study Scope |
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Keywords: |
Engineering, Medicine, Health and Life Sciences, Physics, Reflex Behaviour, Head-Neck Perturbations, Motor Control |
Abstract: |
<p>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.</p> <p>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.<br> Furthermore, we extracted a fixed point on the neck and chin (necessary for an inverse dynamics analysis).<br> Additionally, the demographic characteristics (gender, age, weight, height and BMI) are provided as .txt file.</p> |
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:<br> 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). <br> This means that 'P3_T2' would correspond to the time trajectory of the second trial of the third participant. <br> The columns are separated by commas. Each trajectory contains 150 data points, corresponding to 150 frames (recorded at 462 fps). <br> Furthermore, we provide the time in a separate file (time.txt).<br> The trigger was always released at the 17th frame.<br> All quantities are given in SI-units (e.g. time [s], traj in [m]).<br> 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. |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Studies |
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Wochner, Isabell, 2022, "Postprocessing Code for 'Falling Heads': investigating reflexive responses to head-neck perturbations", <a href="https://doi.org/10.18419/darus-2526">https://doi.org/10.18419/darus-2526</a>, DaRUS |
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<br>Wochner, Isabell, 2022, "Neck muscle data for Falling Heads: investigating reflexive responses to head-neck perturbations", <a href="https://doi.org/10.18419/darus-1145">https://doi.org/10.18419/darus-1145</a>, DaRUS. |
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<br>Wochner, Isabell; Schmitt, Syn, 2022, "EMG data for Falling Heads: investigating reflexive responses in active Human Body Models", <a href="https://doi.org/10.18419/darus-1038">https://doi.org/10.18419/darus-1038</a>, DaRUS. |
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Related Publications |
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Citation |
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Title: |
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. |
Identification Number: |
10.1186/s12938-022-00994-9 |
Bibliographic Citation: |
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. |
File Description--f95944 |
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File: Demographic_Characteristics_Participants_tab.tab |
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Notes: |
UNF:6:qCoJktHRm+8r61oAjbw9+w== |
List of Variables: |
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Variables |
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f95944 Location: |
Variable Format: character Notes: UNF:6:rdo1gBu8FcE6rAKUO1wY9Q== |
f95944 Location: |
Summary Statistics: StDev 0.5072572735017882; Mean 1.5789473684210527; Max. 2.0; Min. 1.0; Valid 19.0; Variable Format: numeric Notes: UNF:6:2B/21QXpzi8aR31u7w7yfQ== |
f95944 Location: |
Variable Format: character Notes: UNF:6:aCeX3xeyt4093iBIcTtNHw== |
f95944 Location: |
Summary Statistics: StDev 10.05463018888781; Mean 64.29411764705883; Max. 83.0; Min. 51.0; Valid 17.0 Variable Format: numeric Notes: UNF:6:Ys4/shOuYnc9NSUD8KOMrQ== |
f95944 Location: |
Summary Statistics: Min. 1.62; Max. 1.83; StDev 0.06699429299662511; Mean 1.7141176470588235; Valid 17.0 Variable Format: numeric Notes: UNF:6:od4si9NeQ1+BX9Acaa72Hw== |
f95944 Location: |
Summary Statistics: Min. 18.68512111; Max. 28.65013774; Valid 17.0; StDev 2.736965414398468; Mean 21.823667048235293 Variable Format: numeric Notes: UNF:6:ijz8QISCSCgHis/wmiZ+JA== |
Label: |
Demographic_Characteristics_Participants.txt |
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ReadMeTrajectories.txt |
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time.txt |
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xtraj_allparticipants_prone_marker1.txt |
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xtraj_allparticipants_prone_marker2.txt |
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xtraj_allparticipants_prone_marker3.txt |
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xtraj_allparticipants_prone_marker_chin.txt |
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xtraj_allparticipants_prone_marker_neck.txt |
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xtraj_allparticipants_supine_marker1.txt |
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xtraj_allparticipants_supine_marker2.txt |
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xtraj_allparticipants_supine_marker3.txt |
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xtraj_allparticipants_supine_marker_chin.txt |
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xtraj_allparticipants_supine_marker_neck.txt |
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ytraj_allparticipants_prone_marker1.txt |
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ytraj_allparticipants_prone_marker2.txt |
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ytraj_allparticipants_prone_marker3.txt |
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ytraj_allparticipants_prone_marker_chin.txt |
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ytraj_allparticipants_prone_marker_neck.txt |
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ytraj_allparticipants_supine_marker1.txt |
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ytraj_allparticipants_supine_marker2.txt |
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ytraj_allparticipants_supine_marker3.txt |
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ytraj_allparticipants_supine_marker_chin.txt |
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ytraj_allparticipants_supine_marker_neck.txt |
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