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
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.
- 2022-06-07 first online
- 2022-10-10 published, posted
- NWO 639.022.606.
- Aspasia grant associated with vidi grant 639.022.606.
DATA - restricted access
Reason
Note that you DO NOT need to request access by clicking the 'Request access to files' button below. You can request access by filling in the EULA form which can be found here: https://doi.org/10.4121/20016194 Once completed, please email it back to [email protected]. When your request is approved, private links to download the data will be emailed to you.Your request will be sent to the owner of the dataset.
