Dense 3D pressure discomfort threshold (PDT) map of the human head, face and neck [Dataset]
DOI:10.4121/21482328.v1
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For a link that will always point to the latest version, please use
DOI: 10.4121/21482328
DOI: 10.4121/21482328
Datacite citation style
Smulders, Maxim; van Dijk, Lisanne N.M.; Song, Yu; Vink, Peter; Huysmans, Toon (2022): Dense 3D pressure discomfort threshold (PDT) map of the human head, face and neck [Dataset]. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21482328.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset contains a dense 3D pressure discomfort threshold (PDT) map of the human head, face and neck of a mixed population (n=28), mapped on an average head model of all the participants. Datasets on nonNormalised and Normalised are available.
To aid designers and engineers, this PDT is also mapped on the human head Statistical Shape Model (SSM) (from Principal Component 1 to PC50, ±3σ) built on the CAESAR 3D Anthropometric Database (USA, Italy and The Netherlands, male and female, 18-65y, n=4309).
Files are available as *.vtk for further analysis, and as *.obj for further use as reference models for design engineering in e.g. CAD.
History
- 2022-11-15 first online, published, posted
Publisher
4TU.ResearchDataFormat
*.csv; *.obj; *.pdf; *.vtkAssociated peer-reviewed publication
Dense 3D pressure discomfort threshold (PDT) map of the human head, face and neck: a new method for mapping human sensitivityFunding
- Crescent Med
- Dutch Research Council (NWO) project number 18636
Organizations
Delft University of Technology, Faculty of Industrial Design Engineering;Crescent Medical B.V.;
University of Antwerp, Department of Physics, Imec-Vision Lab
DATA
Files (12)
- 42,407,795 bytesMD5:
b51627bd74820d7fcf24c893f6a4d67aREADME.pdf - 22,868,981 bytesMD5:
5571e24c73b49f0571093ddf7070fb25Smulders (2022) CAESAR PDT_Mean_nonNorm.csv - 29,240,366 bytesMD5:
5052bc97948001c60b53570ffe0ebaecSmulders (2022) CAESAR PDT_Mean_nonNorm.vtk - 22,870,884 bytesMD5:
bb43484e6847e703126159414b3e0d10Smulders (2022) CAESAR PDT_Mean_Norm.csv - 29,241,248 bytesMD5:
92598d0b14d852c8a45d3cadd9f0d33dSmulders (2022) CAESAR PDT_Mean_Norm.vtk - 15,229,823 bytesMD5:
0988405ec9cab0d8f7a55cf8035e5372Smulders (2022) OBJ PDT_maps.zip - 442,926 bytesMD5:
b7e924032b7eb8af35ef0881f5be0225Smulders (2022) Original PDT_data.zip - 812 bytesMD5:
a68ba68e418ff3ee4eb2fbc1dcb37cf2Smulders (2022) Participant_characteristics.csv - 2,423,461 bytesMD5:
7443d20ff3cd9cd583780def126814eaSmulders (2022) TUDELFT PDT_Mean_nonNorm.csv - 4,722,385 bytesMD5:
76247f0c8c4da557afe01314b158ea49Smulders (2022) TUDELFT PDT_Mean_nonNorm.vtk - 2,428,007 bytesMD5:
1a735e6ed9396164e87dec5631014a05Smulders (2022) TUDELFT PDT_Mean_Norm.csv - 4,732,621 bytesMD5:
188d602e077f1bb4ef57966acdf43504Smulders (2022) TUDELFT PDT_Mean_Norm.vtk -
download all files (zip)
176,609,309 bytes unzipped





