%0 Generic %A Raman, Chirag %A Vargas Quiros, Jose %A Tan, Stephanie %A Islam, Ashraful %A Gedik, Ekin %A Hung, Hayley %D 2022 %T Raw Data for ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild %U https://data.4tu.nl/articles/dataset/Raw-Data_for_ConfLab_A_Rich_Multimodal_Multisensor_Dataset_of_Free-Standing_Social_Interactions_In-the-Wild/20017748/2 %R 10.4121/20017748.v2 %K data-raw %K conflab %K cameras %K wearables %K multimodal %K ConfLab %X <p>This file contains raw data for cameras and wearables of the ConfLab dataset. </p> <p><br></p> <p><strong>./cameras </strong></p> <p>contains the overhead video recordings for 9 cameras (cam2-10) in MP4 files. </p> <p> These cameras cover the whole interaction floor, with camera 2 capturing the</p> <p> bottom of the scene layout, and camera 10 capturing top of the scene layout.</p> <p> Note that cam5 ran out of battery before the other cameras and thus the recordings </p> <p> are cut short. However, cam4 and 6 contain significant overlap with cam 5, to </p> <p> reconstruct any information needed.</p> <p><br></p> <p> Note that the annotations are made and provided in 2 minute segments. </p> <p> The annotated portions of the video include the last 3min38sec of x2xxx.MP4 </p> <p> video files, and the first 12 min of x3xxx.MP4 files for cameras (2,4,6,8,10), </p> <p> with "x" being the placeholder character in the mp4 file names. If one wishes </p> <p> to separate the video into 2 min segments as we did, the "video-splitting.sh"</p> <p> script is provided. </p> <p><br></p> <p>./camera-calibration contains the camera instrinsic files obtained from </p> <p> https://github.com/idiap/multicamera-calibration. Camera extrinsic parameters can </p> <p> be calculated using the existing intrinsic parameters and the instructions in the </p> <p> multicamera-calibration repo. The coordinates in the image are provided by the </p> <p> crosses marked on the floor, which are visible in the video recordings. </p> <p> The crosses are 1m apart (=100cm). </p> <p><br></p> <p><strong>./wearables</strong></p> <p>subdirectory includes the IMU, proximity and audio data from each </p> <p> participant at the Conflab event (48 in total). In the directory numbered </p> <p> by participant ID, the following data are included:</p> <p> 1. raw audio file</p> <p> 2. proximity (bluetooth) pings (RSSI) file (raw and csv) and a visualization </p> <p> 3. Tri-axial accelerometer data (raw and csv) and a visualization </p> <p> 4. Tri-axial gyroscope data (raw and csv) and a visualization </p> <p> 5. Tri-axial magnetometer data (raw and csv) and a visualization</p> <p> 6. Game rotation vector (raw and csv), recorded in quaternions. </p> <p><br></p> <p> All files are timestamped.</p> <p> The sampling frequencies are:</p> <p> - audio: 1250 Hz</p> <p> - rest: around 50Hz. However, the sample rate is not fixed</p> <p> and instead the timestamps should be used. </p> <p><br></p> <p> For rotation, the game rotation vector's output frequency is limited by the </p> <p> actual sampling frequency of the magnetometer. For more information, please refer to </p> <p> https://invensense.tdk.com/wp-content/uploads/2016/06/DS-000189-ICM-20948-v1.3.pdf</p> <p><br></p> <p> Audio files in this folder are in raw binary form. The following can be used to convert</p> <p> them to WAV files (1250Hz):</p> <p><br></p> <p> ffmpeg -f s16le -ar 1250 -ac 1 -i /path/to/audio/file</p> <p><br></p> <p><strong>Synchronization of cameras and werables data</strong></p> <p> Raw videos contain timecode information which matches the timestamps of the data in</p> <p> the "wearables" folder. The starting timecode of a video can be read as:</p> <p> ffprobe -hide_banner -show_streams -i /path/to/video</p> <p><br></p> <p><strong>./audio</strong></p> <p>./sync: contains wav files per each subject</p> <p>./sync_files: auxiliary csv files used to sync the audio. Can be used to improve the synchronization. </p> <p>The code used for syncing the audio can be found here: </p> <p>https://github.com/TUDelft-SPC-Lab/conflab/tree/master/preprocessing/audio </p> %I 4TU.ResearchData