Samples for ConfLab: A Rich Multimodal Multisensor Dataset of Free-Standing Social Interactions in the Wild

doi: 10.4121/20017682.v2
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20017682
Datacite citation style:
Raman, Chirag; Vargas Quiros, Jose; Tan, Stephanie; Islam, Ashraful; Gedik, Ekin et. al. (2022): Samples for ConfLab: A Rich Multimodal Multisensor Dataset of Free-Standing Social Interactions in the Wild. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/20017682.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2022-10-10 (latest)
version 1 - 2022-06-08

This file contains some sample data for the ConfLab dataset to provide a general idea. 

  • sample_video.mp4: a sample video recording from one of the overhead cameras capturing part of the interaction floor
  • sample_keypoints_annotations.mp4: visualization of the keypoint annotations corresponding to a short video segment
  • sample_sensor.csv: sensor data with the following columns (interpolated to have consistent 50Hz sampling frequency): <acceleration (tri-axial accelerometer) of a subject, angular velocity (tri-axial gyroscope) of a subject, magnetic field (tri-axial magnetometer) of a subject, the orientation of a subject in quarternions, RSSI proximity measurements of a subject>
  • sample_audio, sample_audio.wav: sample audio files from a subject; the wav version is playable¬†in a standard media player
  • README.txt: A file containing this description for convenience


history
  • 2022-06-07 first online
  • 2022-10-10 published, posted
publisher
4TU.ResearchData
format
zipped files
funding
  • NWO 639.022.606
  • Aspasia grant associated with Vidi grant 639.022.606
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Intelligent Systems

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