Processed Data for ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild

doi: 10.4121/20017805.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: 10.4121/20017805
Datacite citation style:
Raman, Chirag; Vargas Quiros, Jose; Tan, Stephanie; Islam, Ashraful; Gedik, Ekin et. al. (2022): Processed Data for ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/20017805.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 folder contains processed data (video and wearable sensors) for 16 mins
of interaction that were annotated for the Conflab dataset.

./cameras
   ./video_segments contains the overhead video recordings for 5 cameras
   in MP4 files. These are split into 2 min segments, down-scaled to 960x540px,
   and denoised. The resulting files are the ones that were used to annotate poses
   and actions.

   For applications that require higher resolutions, the original video files in the
   "data_raw" folder are at 1920x1080 resolution and a script is provided to extract
   the same 2min segments.

   ./camera-calibration contains the camera instrinsic files obtained from:
   https://github.com/idiap/multicamera-calibration. Camera extrinsic parameters
   can be calculated using the existing intrinsic parameters and the instructions
   in the multicamera-calibration repo. The coordinates in the image are provided
   by the crosses marked on the floor, which are visible in the video recordings.
   The crosses are 1m apart (=100cm).  

./wearables
   contains one single dataframe with aggregated sensor information
   (accelerometer, gyroscope, magnetometer, rotation, proximity) per each person.
   The data has been interpolated and imputed at 50Hz (fixed). The code used to obtain
   these files from the raw data can be found at:
   https://github.com/TUDelft-SPC-Lab/conflab/blob/master/preprocessing/midge/preprocess.ipynb

   This code can be used to preprocess larger segments of the werable data
   from the "data_raw" folder.

   Audio files are not part of this folder, but are provided in the "data_raw" file.

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

DATA - restricted access

Reason

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