PhysioIntent: Multimodal dataset for human intention prediction research
Data and Resources
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S1.csv .mp4 .zip
Dataset from subject 1 (Age 21, Female, 20-05-2022 13:11:15)
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S2.csv .mp4 .zip
Dataset from subject 2 (Age 22, Male, 24-05-2022 17:31:29)
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S3.csv .mp4 .zip
Dataset from subject 3 (Age 24, Male, 25-05-2022 14:38:13)
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S4.csv .mp4 .zip
Dataset from subject 4 (Age 22, Female, 25-05-2022 17:33:13)
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S5.csv .mp4 .zip
Data from subject 5 (Age 23, Female, 26-05-2022 17:20:57)
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S6.csv .mp4 .zip
Data from subject 6 (Age 22, Female, 26-05-2022 18:48:34)
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S7.csv .mp4 .zip
Data from subject 7 (Age 20, Male, 29-07-2022 18:48:34)
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S8.csv .mp4 .zip
Data from subject 8 (Age 22, Female, 03-08-2022 14:41:24)
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S9.csv .mp4 .zip
Data from subject 9 (Age 26, Male, 19-08-2022 10:51:20)
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Subject data storage model.png
Provides useful information about the structure of the dataset folders.
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Read Me.md
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PhysioIntent supporting material.pdf .py .zip
Complementary dataset material, namely the experiment protocol.
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PhysioIntent dataset.csv .mp4 .zip
Full dataset.
Additional Info
Field | Value |
---|---|
Author | Ana Filipa Ferreira |
Last Updated | August 24, 2022, 16:31 (Europe/Lisbon) |
Created | August 24, 2022, 09:37 (Europe/Lisbon) |
Citation | Ferreira, A. F., Minhoto, V., Cunha, J. P., & Dias, D. (2022). PhysioIntent: Multimodal dataset for human intention prediction research [Data set]. INESC TEC. https://doi.org/10.25747/6101-JD30 |
Contributor | Vitor Minhoto; João Paulo Cunha; Duarte Dias |
DOI | https://doi.org/10.25747/6101-JD30 |
Format | .csv; mp4 |
Instrument | iHandU; OpenBCI; EEG cap 64 channels; Webcam |
Language | English |
Points of contact | vitor.minhoto@inesctec.pt; joao.p.cunha@inesctec.pt; duarte.f.dias@inesctec.pt |
Relation | This dataset was collected in the context of a Master Thesis that will be presented in the following months. Link will be available when the thesis is published. |
Software | Python |
Temporal Coverage | May-August 2022 |
Type | Biosignals, and Inertial measurements |