Data for MacAction: Realistic 3D macaque body animation based on multi-camera markerless motion capture
Description
Data associated to the repository https://github.com/martinivis/MacAction, including data files necessary for running analyses, along with a virtual scene that can be opened using Autodesk Maya. This scene has been used to render images that served as stimuli for the Uncanny Valley experiment detailed in the project.
Files
data.zip
Files
(1.1 GB)
| Name | Size | Download all |
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md5:a5ce56b0eec838f731e44afd1399d6f1
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1.1 GB | Preview Download |
Additional details
Data quality
- Accuracy
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Exact data from eye fixations and code for labeling, and basic processing.
- Completeness
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Complete data for eye fixation analysis and basic processing.
The avatar and captured videos are proprietary and thus not shared.
For further data on benchmarking results or setting up retargeting in Maya, please contact the author.
- Conformity
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Basic formats of arrays, videos and eye fixations in Matlab.
- Consistency
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Basic calibration formats that are supported by other 3D tools like Anipose, Sleap or APT.
- Credibility
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Data can be processed and checked by users.
- Processability
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The data can be processed with the associated code project and is automated.
- Relevance
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The data provides examples for other labeling and tracking scenarios and gives analysis of eye fixations in python.
- Timeliness
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Current standard formats in python with numpy.
- Understandability
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Data and code are written in English.