cff-version: 1.2.0 abstract: "<p>This folder contains processed data (video and wearable sensors) for 16 mins<br> of interaction that were annotated for the Conflab dataset.<br> <br> <strong>./cameras</strong><br> ./video_segments contains the overhead video recordings for 5 cameras<br> in MP4 files. These are split into 2 min segments, down-scaled to 960x540px,<br> and denoised. The resulting files are the ones that were used to annotate poses<br> and actions.<br> <br> For applications that require higher resolutions, the original video files in the<br> "data_raw" folder are at 1920x1080 resolution and a script is provided to extract<br> the same 2min segments.<br> <br> ./camera-calibration contains the camera instrinsic files obtained from:<br> https://github.com/idiap/multicamera-calibration. Camera extrinsic parameters<br> can be calculated using the existing intrinsic parameters and the instructions<br> in the multicamera-calibration repo. The coordinates in the image are provided<br> by the crosses marked on the floor, which are visible in the video recordings.<br> The crosses are 1m apart (=100cm). <br> <br> <strong>./wearables</strong><br> contains one single dataframe with aggregated sensor information<br> (accelerometer, gyroscope, magnetometer, rotation, proximity) per each person.<br> The data has been interpolated and imputed at 50Hz (fixed). The code used to obtain<br> these files from the raw data can be found at:<br> https://github.com/TUDelft-SPC-Lab/conflab/blob/master/preprocessing/midge/preprocess.ipynb<br> <br> This code can be used to preprocess larger segments of the werable data<br> from the "data_raw" folder.<br> <br> Audio files are not part of this folder, but are provided in the "data_raw" file.</p>" authors: - family-names: Raman given-names: Chirag orcid: "https://orcid.org/0000-0003-4894-4206" - family-names: Vargas Quiros given-names: Jose - family-names: Tan given-names: Stephanie - family-names: Islam given-names: Ashraful - family-names: Gedik given-names: Ekin - family-names: Hung given-names: Hayley title: "Processed-Data for ConfLab: A Rich Multimodal Multisensor Dataset of Free-Standing Social Interactions In-the-Wild" keywords: version: 1 identifiers: - type: doi value: 10.4121/20017805.v1 license: Restrictive Licence date-released: 2022-06-08